SlideShare a Scribd company logo
International Journal of Electrical and Computer Engineering (IJECE)
Vol. 10, No. 3, June 2020, pp. 2513~2522
ISSN: 2088-8708, DOI: 10.11591/ijece.v10i3.pp2513-2522  2513
Journal homepage: http://ijece.iaescore.com/index.php/IJECE
Comparison of coherent optical transmission systems
performance by DP-QAM levels
Abdul Gafur1
, M. S. Islam2
, Syed Zahidur Rashid3
1,2
Department of Physics, Jahangirnagar University, Bangladesh
1,3
Department of Electronic and Telecommunications Engineering,
International Islamic University Chittagong, Bangladesh
Article Info ABSTRACT
Article history:
Received Sep 25, 2019
Revised Nov 5, 2019
Accepted Nov 25, 2019
In this paper, we investigated the Coherent Optical Transmission System
(COTS) performance for multiple types of DP-QAM levels considering
various CW laser input power. We compared the performance of COTS for
100 Gb/s with DP-32QAM, DP-64QAM and DP-128QAM respectively.
We also inspected the relationship among Optical Signal to Noise Ratio
(OSNR), Error Vector Magnitude (EVM) and Bit Error Rate (BER) which
are found in accordance for both simulation curves and constellation
diagrams. Results are obtained by experiments with DP-32QAM, DP-
64QAM and DP-128QAM modulations techniques at symbol rate of 10
Gsymbol/s, 8.33 Gsymbol/s and 7.142 Gsymbol/s respectively. This work is
completely based on simulation in Optisystem simulation setup.
Keywords:
BER
DP-QAM
EVM
OSNR
Copyright © 2020 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Abdul Gafur,
Department of Electronic and Telecommunication Engineering,
International Islamic University Chittagong,
Kumira, Chittagong-4318, Bangladesh.
Email: agafur_cox@yahoo.com
1. INTRODUCTION
At present, realizing higher bit rates, capacity and lower cost per bit for long haul coherent optical
transmission systems (COTS) are leading research interests [1, 2]. It is well known that up to 10 Gb/s On-Off
Keying (OOK) with association of either return-to-zero (RZ) or non-return-to-zero (NRZ) modulation
technique works very well from transceiver point of view. But for higher data rates, these modulation formats
also show some drawbacks such as spectral inefficiency along with linear and nonlinear effects of optical
fiber [3]. For COTS, the parameters upon which efficiency relies on are capacity, optical link distance,
spectral efficiency, bandwidth of the channel and optical system design [4]. Consequently, advanced
modulation formats are extensively applied for meeting continuously growing demands in COTS [5-7].
Moreover COTS has the merits of anti-polarization dispersion and better sensitivity in the receiver
which is not the case for direct detection modulation technique. Also COTS is compatible with Multi level
modulation format and has better spectral efficiency. Due to these advantages, COTS is employed in DWDM
systems [8].
Besides QAM has the capability to obtain very higher spectral efficiency over optical frequency
bands [9]. Thus DP-QAM is one of the potential modulation candidates for COTS [10]. DP-QAM
modulation levels are widely employed for satisfying increasing demands of higher spectral efficiency as
well as higher capacity whereas it also shields against linear and nonlinear affects in optical fibers [11].
This modulation format is an operator for both the amplitude and phase alteration along with dual
polarization in the COTS [12]. Furthermore Dual polarization QAM provides higher bits/symbol rate which
ultimately leads to efficient utilization of the frequency spectrum [13]. On the contrary, more inspection and
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522
2514
safe guarding are must for Dual polarization QAM [14]. In situations where optical channels are impaired by
amplified spontaneous emission (ASE) noises, the error vector magnitude (EVM) and the optical signal to
noise ratio (OSNR) play a pivotal role in measuring the performance of those optical channels [2, 5].
By the same token, it is very much important to portray optical I-Q transmitters [15]. Still now,
the interaction of BER and OSNR with respect to EVM is not well ascertained in COTS [16]. Moreover,
EVM is better metric than BER when symbol sequences are unknown. Thereby association between EVM
and BER are highly momentous for COTS [15]. In this paper the effect of nonlinear distortion on DP-QAM
based COTS was analyzed in Optisystem software environment. In case of QAM, information encoding is
done on amplitude and phase which required very sophisticated analysis and quantization technique
to measure the efficiency of COTS [17]. EVM and OSNR are widely applied parameters for
evaluating the performance of COTS where the optical channels are adversely affected by ASE noise and
I-Q transmitters [17].
With the help of EVM we can calculate the deviation of actual received data from the expected
value of demodulated data [18]. But signal-to-noise ratio (SNR), EVM and BER originally derived wireless
digital communications which are not compatible with optical communications systems [5]. Proper algorithm
of COTS is necessary for accurately validating the interdependency between EVM and BER [17, 19].
The prime parameters that were analyzed here are Input transmitting power, propagation optical length,
EVM, BER and OSNR. Proper investigation of EVM is an inevitable which necessitates the derivation of
an analytical closed form expression for EVM [20]. In addition to that simulated outputs of the constellation
diagrams for x polarization and y polarization were found in accordance to our findings. We derived a novel
expression presenting the relationships among EVM, OSNR and BER for the designed transmitter receiver of
the COTS. Then we designed the algorithm for simulation flow representing the complete simulated COTS
architecture. We presented our simulation results along with comparison table containing the existing works
and thereby validation of our findings from the simulated COTS is shown. This paper is decorated as follows:
In Section 1, in the introduction part we provided background with literature review, the problem statement
and our novel analytical expression where the interaction among BER, OSNR and EVM are presented
mathematically. In Section 2, analytical analysis of the work is presented. In Section 3 describes
the simulation layout of the systems. In Section 4, we incorporated the results and findings. Conclusion of
the paper and future directions are provided in Section 5.
2. ANALYTICAL ANALYSIS
EVM is the measurement of the difference between reference signal and received signal.
Consequently, magnitude error, vector error and phase error produced between the transmitted symbols and
received symbols in COTS. The mathematical expression [3, 21] to determine the EVM of the COTS
is as follows
D
nSnS
N
EVM
N
n
rt 

1
2
)()(
1
(1)
where, N is the total number of transmitted bits, St (n) is the function of reference transmitted bits, Sr (n) is
the function of received bits in the systems and D is the operator which maximize the magnitude (Rmax) or
either maximize the normalized or average bit power (P0) for all transmitted bits for the preferred modulation
levels. As a result, EVM is inversely proportional to the signal to noise ratio (SNR) [22]. OSNR is equal to
the multiplication of SNR with bit rate (Rs) when the result of multiplication is divided by the reference
optical bandwidth (Bref) [2]. The following formula [3, 16, 23, 24] is to measure the bit error rate for
the EVM which is expressed below in the (2)










 

MR
BOSNR
L
L
kerfc
L
L
BER
s
ref
2
2
21
2
1
log
)()(2
)1(
log3
log
)1(
(2)
In (2), Rs represents the bit rate. Bref is the reference optical bandwidth. L and M are the bit levels
and constellation points number of the desired modulation levels respectively. In this way, for DP-32QAM,
DP-64QAM and DP-128QAM formats, L and M produce the 5, 6, 7 bits and 32, 64 and 128 constellation
points respectively. OSNR is the optical signal to noise ratio. k is the ratio of received and typical
constellation points in COTS for DP-QAM levels.
Int J Elec & Comp Eng ISSN: 2088-8708 
Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur)
2515
3. SIMULATION LAYOUT
Figures 1, 2, 3 and Figures 4(a), 4(b) represent [3, 11, 25, 26] the block diagram of COTS, algorithm
of simulation flow for DP-QAM based COTS, architecture test bed of COTS, layout of coherent QAM
square DP transmitter and receiver of COTS respectively. The system consists of coherent QAM square DP
transmitter; optical link and coherent QAM square DP Receiver. The optical link section consists of optical
fiber and EDFA. Data rate of 100 Gb/s is considered to simulate the test bed of COTS with DP-QAM in
Optisystem optical simulation software tool. In this scenario, coherent QAM square DP transmitter transmits
at the wavelength of 193.1 THz for various DP-QAM levels. Then the transmitted signal is separated in
X and Y components. Consequently, the outputs go through the I-Q modulator and thereby yield DP-QAM
signals. Now the modulating DP-QAM signals passed through the optical amplifier. The amplified signal
passed through the optical link with 80km span length considering single mode fiber (SMF).
To compensate the fiber attenuation and nonlinearities of the SMF, the optical amplifier used in
the link. At the receiver section, coherent QAM square DP receiver is employed to detect the optical signal.
In receiver module PBS (Polarization Beam splitter) creates two reciprocally polarized signals.
For the detection of four optical fields there are four photodiodes are used to convert the optical signal to
electrical signal. After that the electrical signal is passed through the analog to digital converter (ADC) to get
the digital signals. Eventually DSP processor module used in the simulation for minimization of frequency
and phase differences that occur in the COTS which is then go through the threshold based circuitry.
Afterward bit error rate test tool is used to assess the BER performance of COTS for DP-QAM levels.
Figure 1. Schematic block diagram of simulation setup for COTS
Figure 2. Algorithm of simulation flow for DP-QAM based COTS, where PBS-polarization beam splitter,
MZM- mach-zehnder modulator, OA- optical amplifier, PIN-p-i-n photodiode
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522
2516
Figure 3. Architecture of test bed COTS
(a)
Figure 4. (a) Optisystem layout of coherent QAM square DP transmitter,
(b) Optisystem layout of coherent QAM square DP receiver
Int J Elec & Comp Eng ISSN: 2088-8708 
Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur)
2517
4. RESULTS
Global parameters for the system are data rate of 100Gb/s, dual polarization, square constellation
types, 65536 number of samples which are used to simulate the COTS. As a result the symbol rate for
DP-32QAM, DP-64QAM and DP-128QAM are 10 Gsymbol/s, 8.33 Gsymbol/s and 7.142 Gsymbol/s
respectively. The operating channel wave length is 193.1THz. The operating input power for CW Laser
is -20dBm to 5dBm. The operating Optical Signal to Noise Ratio (OSNR) is 12 to 30 dB. The fiber link is of
80 km span length. The fiber attenuation is 0.2dB/km. The fiber dispersion coefficient is 16ps/nm-km.
The gain of EDFA is 16dB and the noise figure is 4dB. Fiber Nonlinearities is 26e-021
m2
/w and fiber effective
area is 80e-012
. Following the systematic procedure and test bed of COTS, we have found the following
results. Figure 5 represents the optical modulating signal displays in Optical Spectrum Analyser (OSA)
before sending through the optical link. After the DP-QAM the input message signal as shown in Figure 5,
is transmitted through the optical Channel. In the receiver module the downlink receiver is used to
demodulate the received signal which was transmitted through the optical channel. And it is splitted in
electrical form to the in channel and quadrature channel parts.
Figure 5. Input power versus frequency of CW laser
Figure 6 represents the comparison for input power (dBm) for DP-QAM level schemes in terms of
EVM (%). In Figure 6, it is found that the propagation efficiency is examined by changing the CW input
power to observe the corresponding impact of CW input power on Error vector magnitude(%) for
the distance of back to back (B2B), 80 km and 400 km after reimbursement for the dispersion effect of
the optical propagation system. In this setup the EVM is calculated in case of DP-32QAM, DP-64QAM, and
DP-128QAM. The setup reveals that EVM figure for various modulation techniques has an inclination to
down fall behavior against CW input power. At -9dBm, there is an unusual phenomenon that the linearity of
the output graphs tends to more down wards. At input power -9 dBm, DP-128QAM shows the EVM of 9.5%,
9.6%, and 10.7% where DP-64QAM exhibits the EVM of 12.24%, 13.3% and 15.1% and lastly DP-32QAM
provides the EVM of 17.45%, 19.23% and 22.34% for back to back, 1 span and 5 spans respectively.
Figure 7 exposes the behavior of EVM with respect to propagation length at CW input powers of
0 dBm and 5 dBm in case of DP-32QAM, DP-64QAM, and DP-128QAM. It is observed from the figure that
EVM increases with the increment of the distance. At 100 km to 220 km, among all of the modulation
formats considered here in this setup, 0 dBm provides higher EVM as compared to 5dBm. At 220km to 600
km, DP-64QAM shows higher EVM for 5dBm as compared to 0dBm. On the other hand, DP-32QAM and
DP-128QAM both provides higher EVM in case of 0dBm as compared to 5dBm. And at 600 to 1200km
point it reaches to the pick point in case of input power of 0dBm and 5dBm. It is interesting to observe
that DP-32QAM, DP-64QAM, both shows almost similar behavioral patterns for 0dBm and 5dBm.
On the contrary, DP-128QAM provides more %EVM for 5dBm input power where it shows lesser EVM
for 0dBm.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522
2518
Figure 6. Performance comparison for input power (dBm) for DP-QAM level schemes in terms of EVM (%)
Figure 7. Propagation length (km) versus error vector magnitude (%)
Figure 8 reveals the BER performance with respect to the OSNR. This graph of figure exposes that
DP-128QAM 5 spans, DP-128QAM b2b and DP-128QAM 1 span are not suitable for error free transmission
at the simulated OSNR range. Besides, DP-32QAM B2B, DP-64QAM B2B gives lower BER which is
compatible with our basic prediction. But DP-128QAM b2b has deviated from normal behavior, thereby not
supporting acceptable BER performance. On the contrary, DP-32QAM 1 span provides very virtuous BER
performance. We have observed that similar better output are obtained for DP-32QAM 1 span and
DP-64QAM 1 span. Although, DP-32QAM 5 span and DP-64QAM 5 spans yields worse performance which
is not acceptable for error free communications. These observations are also confirmed by the constellation
point evidences shown in Table 1. Table 2 represents the comparison among related works. It validates that
our design performs better in terms of OSNR than previous works. Our investigation shows the maximum
OSNR of 28dB at DP-32QAM level compared to existing works in Table 2.
Int J Elec & Comp Eng ISSN: 2088-8708 
Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur)
2519
Figure 8. Performance comparison for DP- QAM levels with respect to OSNR versus log of BER
Table 1. Constellations diagrams of DP-QAM levels for COTS performance comparison
DP-QAM Levels Back to Back Propogation Propagation for 80 km ( 1 Span)
DP-32QAM
(X Polarization)
DP-32QAM
(Y Polarization)
DP-64QAM
(X Polarization)
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522
2520
Table 1. Constellations diagrams of DP-QAM levels for COTS performance comparison (continue)
DP-QAM Levels Back to Back Propogation Propagation for 80 km ( 1 Span)
DP-64QAM
(Y Polarization)
DP-128QAM
(X Polarization)
DP-128QAM
(Y Polarization)
Table 2. Comparison table of our work with previous works
Factors Ref. No. [3] Ref. No. [8] Ref. No. [11] Ref. No. [13] Current
Investigation
Technology Coherent Optical
Systems
Coherent Optical
Systems
Coherent Optical
Systems
Coherent
detection
Coherent Optical
Systems
Modulation Formats Advanced Advanced M-QAM Advanced M-QAM
Data Rate(Gbps) 112 904 400 256 100
Channel Input power(dBm) -20 to 5 0 -------- -3 to 3 -20 to 5
Wavelength/ frequency 193.1THz 1550 nm -------- 1557.36nm 193.1 THz
Fiber attenuation(dB/km) 0.2 0.2 -------- -------- 0.2
Span length(km) 80 80 -------- 75 80
Dispersion
(ps/nm/km)
16 16.75 -------- -------- 16
Polarization Type Dual Dual PM SP and Dual Dual
Modulation signal level 32QAM 128QAM 32QAM and
64QAM
128QAM and
16QAM
32QAM
Amplifier EDFA EDFA EDFA EDFA
Amplifier Gain (dB) 16 16 -------- -------- 16
Noise Figure(dB) 4 4 -------- -------- 4
OSNR(dB) 23.5 27 21.8 and 24.3 18 and 19 28
Int J Elec & Comp Eng ISSN: 2088-8708 
Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur)
2521
5. CONCLUSION
We exhibited the COTS with multiple types of DP-QAM levels. The performance of
the DP-32QAM, DP-64QAM and DP-128QAM modulation formats with the same data rate (100Gb/s) and
different symbol rates (10 Gsymbol/s, 8.33 Gsymbol/s and 7.142 Gsymbol/s respectively) have been
compared in terms of CW input power. The findings based on the performance curves and constellation
diagrams are in harmony with the analytical manifestation and are strong evidences to our explanation of
the outputs.
This simulation work helps the calculation of EVM with respect to propagation length, input
channel power for DP-QAM levels. It is interesting that for the same test bed of COTS, three DP- QAM
levels performed differently. This investigation improves the optical transmission systems by minimizing
the error vector magnitude (EVM). In this simulation, it is found that DP-128QAM outperforms DP-32QAM
and DP-64QAM. DP-128QAM has a potentiality to rescue from the detrimental factors that arises from long
haul optical fiber communications link.
ACKNOWLEDGEMENTS
The authors are thankful to University Grants Commission of Bangladesh (UGC) for sponsoring this
research work under the research scheme grant, 2017.
REFERENCES
[1] Yuki Koizumi, et al., “1024 QAM (60 Gbit/s) single carrier coherent optical transmission over 150 km,” Optics
Express, vol. 20, no. 11, May 2012.
[2] Xiaosheng Xiao, et al., “Influence of ASE noise on the signal OSNR and error vector magnitude in coherent optical
communications,” Optoelectronics Global Conference, Aug. 2015.
[3] Monika Mehra, et al., “Performance Analysis of Coherent Optical Communication System for Higher order Dual
Polarization Modulation Formats,” Optik- International Journal for Light and Electron Optics, vol. 135,
pp. 174-179, Apr. 2017.
[4] Peter J. Winzer, “High-Spectral-Efficiency Optical Modulation Formats,” Journal of Lightwave Technology,
vol. 30, no. 24, pp. 3824-3835, 2012.
[5] Huaqiang Qin, et al., “Modeling of the Impacts of Nonlinear Propagation on EVM for Digital Coherent Receivers,”
16th International Conference on Optical Communications and Networks (ICOCN), Aug. 2017.
[6] Z. Dong, et al., “OSNR monitoring for QPSK and 16-QAM systems in presence of fiber nonlinearities for digital
coherent receivers,” Optics express, vol. 20, pp. 19520-19534, 2012.
[7] A. Carena, et al., “Statistical characterization of PM-QPSK signals after propagation in uncompensated fiber links,”
in Proc. ECOC, 2010.
[8] Guang Li, et al., “A Pulse Shaping Based Optical Transmission System of 128QAM for DWDM with N × 904
Gbps,” Applied Sciences, vol. 9, no. 5, pp. 988, Mar. 2019.
[9] Seiji Okamoto, et al., “512 QAM (54 Gbit/s) coherent optical transmission over 150 km with an optical bandwidth
of 4.1 GHz,” 36th
European Conference and Exhibition on Optical Communication (ECOC), Sep. 2010.
[10] Júlio César Medeiros Diniz, et al., “Optimization of DP-M-QAM Transmitter Using Cooperative Coevolutionary
Genetic Algorithm,” Journal of Lightwave Technology, vol. 36, no. 12, Jun. 2018.
[11] E. Lach, et al., “Modulation formats for 100 G and beyond,” Optical Fiber Technology, vol. 17, no. 5,
pp. 377-386, 2011.
[12] B. Szafraniec, et al., “Performance monitoring and measurement techniques for coherent optical systems,” Journal
of Lightwave Technology, vol. 31, pp. 648–663, Feb. 2013.
[13] A. S. Kashi, et al., “Information Rates for the SP 128-QAM and DP 16-QAM Modulation Formats,” European
Conference on Optical Communication (ECOC), Oct. 2015.
[14] L. Alberto Campos, et al., “Proactive Network Maintenance Evolution to the Optical Domain in Coherent Optics,”
Advancing Technology's Agenda, Atlanta, GA, Oct. 2018.
[15] Martin Hudliˇcka, et al., “BER Estimation from EVM for QPSK and16-QAM Coherent Optical Systems,” IEEE 6th
International Conference on Photonics (ICP), Mar. 2016.
[16] Rene Schmogrow, et al., “Error Vector Magnitude as a Performance Measure for Advanced Modulation Formats,”
IEEE Photonics Technology Letters, vol. 24, pp. 61-63, Jan. 2012.
[17] I. Fatadin, "Estimation of BER from Error Vector Magnitude for Optical Coherent Systems,” Photonics, vol. 3,
no. 2, pp. 21, 2016.
[18] Maoliu Lin, et al., “EVM Simulation and its Comparison with BER for Different Types of Modulation,” TENCON,
Nov. 2007.
[19] Qinghua Yu, et al., “Research on Evaluation of BER in Communication system,” 15th
International Conference on
Optical Communications and Networks, Sep. 2016.
[20] A. Georgiadis, et al., "Evaluation of error vector magnitude due to combined IQ imbalances and phase noise,”
IET Circuits, Devices & Systems, vol. 8, no. 6, pp. 421-426, 2014.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522
2522
[21] Ruijiao Zhang, et al., “Full-duplex fiber-wireless link for alternative wired and 40-GHz band wireless access based
on differential quaternary phase-shift optical single sideband millimeter-wave signal,” Optical Engineering, vol. 54,
Feb. 2015.
[22] Rishad Ahmed Shafik, et al., “On the Extended Relationships among EVM, BER and SNR as Performance
Metrics,” ICECE, 2006.
[23] Chien-Yu Lin, “Digital Nonlinear Compensation for Next-Generation Optical Communication Systems Using
Advanced Modulation Formats,” Ph.D dissertation, Faculty of Engineering, Friedrich-Alexander-Universität
Erlangen-Nürnberg, Jan. 2014. [Online], Available: https://d-nb.info/1054331367/34.
[24] By Rene´-Jean Essiambre, et al., “Capacity Trends and Limits of Optical Communication Networks,” Proceedings
of the IEEE, vol. 100, no. 5, May 2012.
[25] [Online], Available: https://optiwave.com.
[26] Vipanpreet Kaur, et al., “A Study of Different Forms of Dual Polarization–Quadrature Amplitude Modulation and
its Performance Analysis in Terms of Q-Factor and Distance,” Journal of Optical Communications, Sep. 2018.

More Related Content

What's hot

Optical Fiber Communication.
Optical Fiber Communication.Optical Fiber Communication.
Optical Fiber Communication.
Amogha Bandrikalli
 
Mac sub layer
Mac sub layerMac sub layer
Mac sub layer
DIKSHA_LAHRANI
 
Vsat access control protocols
Vsat access control protocolsVsat access control protocols
Vsat access control protocols
Syed Mainul Islam
 
Channel Estimation
Channel EstimationChannel Estimation
Channel Estimation
Pei-Che Chang
 
Modem synchronization and control
Modem synchronization and controlModem synchronization and control
Modem synchronization and control
sirish2chandraa
 
Channel estimation - F. Ling
Channel estimation - F. LingChannel estimation - F. Ling
Channel estimation - F. Ling
Fuyun Ling
 
Large scale path loss 1
Large scale path loss 1Large scale path loss 1
Large scale path loss 1
Vrince Vimal
 
OFC Unit 1 Optical Fiber Communication Introduction
OFC Unit 1 Optical Fiber Communication IntroductionOFC Unit 1 Optical Fiber Communication Introduction
OFC Unit 1 Optical Fiber Communication Introduction
deepraj adhikary
 
Prioritizing handoffs
Prioritizing handoffsPrioritizing handoffs
Prioritizing handoffs
AJAL A J
 
Erbium Doped Fiber Amplifier (EDFA)
Erbium Doped Fiber Amplifier (EDFA)Erbium Doped Fiber Amplifier (EDFA)
Erbium Doped Fiber Amplifier (EDFA)
Jayanshu Gundaniya
 
WDM & Optical Amplifiers
WDM & Optical AmplifiersWDM & Optical Amplifiers
WDM & Optical Amplifiers
Eng_Ahmad
 
Terrestrial Microwave Link Design
Terrestrial Microwave Link DesignTerrestrial Microwave Link Design
Terrestrial Microwave Link Design
mohamud mire
 
TDMA, FDMA, and CDMA
TDMA, FDMA, and CDMATDMA, FDMA, and CDMA
TDMA, FDMA, and CDMA
Najeeb Khan
 
Signal and image processing on satellite communication using MATLAB
Signal and image processing on satellite communication using MATLABSignal and image processing on satellite communication using MATLAB
Signal and image processing on satellite communication using MATLAB
Embedded Plus Trichy
 
Link Budget
Link BudgetLink Budget
Link Budget
Syed Khurram Iqbal
 
Amplitude Modulation using Multipliers and Envelope Detector
Amplitude Modulation using Multipliers and Envelope DetectorAmplitude Modulation using Multipliers and Envelope Detector
Amplitude Modulation using Multipliers and Envelope Detector
j naga sai
 
Mimo communication system
Mimo communication systemMimo communication system
Mimo communication system
Vinod Prajapat
 
Radio propagation
Radio propagationRadio propagation
Radio propagation
Nguyen Minh Thu
 
MIMO OFDM
MIMO OFDMMIMO OFDM
MIMO OFDM
Darshan Patil
 
Wdm passive components
Wdm passive componentsWdm passive components
Wdm passive components
Arun K Mohan
 

What's hot (20)

Optical Fiber Communication.
Optical Fiber Communication.Optical Fiber Communication.
Optical Fiber Communication.
 
Mac sub layer
Mac sub layerMac sub layer
Mac sub layer
 
Vsat access control protocols
Vsat access control protocolsVsat access control protocols
Vsat access control protocols
 
Channel Estimation
Channel EstimationChannel Estimation
Channel Estimation
 
Modem synchronization and control
Modem synchronization and controlModem synchronization and control
Modem synchronization and control
 
Channel estimation - F. Ling
Channel estimation - F. LingChannel estimation - F. Ling
Channel estimation - F. Ling
 
Large scale path loss 1
Large scale path loss 1Large scale path loss 1
Large scale path loss 1
 
OFC Unit 1 Optical Fiber Communication Introduction
OFC Unit 1 Optical Fiber Communication IntroductionOFC Unit 1 Optical Fiber Communication Introduction
OFC Unit 1 Optical Fiber Communication Introduction
 
Prioritizing handoffs
Prioritizing handoffsPrioritizing handoffs
Prioritizing handoffs
 
Erbium Doped Fiber Amplifier (EDFA)
Erbium Doped Fiber Amplifier (EDFA)Erbium Doped Fiber Amplifier (EDFA)
Erbium Doped Fiber Amplifier (EDFA)
 
WDM & Optical Amplifiers
WDM & Optical AmplifiersWDM & Optical Amplifiers
WDM & Optical Amplifiers
 
Terrestrial Microwave Link Design
Terrestrial Microwave Link DesignTerrestrial Microwave Link Design
Terrestrial Microwave Link Design
 
TDMA, FDMA, and CDMA
TDMA, FDMA, and CDMATDMA, FDMA, and CDMA
TDMA, FDMA, and CDMA
 
Signal and image processing on satellite communication using MATLAB
Signal and image processing on satellite communication using MATLABSignal and image processing on satellite communication using MATLAB
Signal and image processing on satellite communication using MATLAB
 
Link Budget
Link BudgetLink Budget
Link Budget
 
Amplitude Modulation using Multipliers and Envelope Detector
Amplitude Modulation using Multipliers and Envelope DetectorAmplitude Modulation using Multipliers and Envelope Detector
Amplitude Modulation using Multipliers and Envelope Detector
 
Mimo communication system
Mimo communication systemMimo communication system
Mimo communication system
 
Radio propagation
Radio propagationRadio propagation
Radio propagation
 
MIMO OFDM
MIMO OFDMMIMO OFDM
MIMO OFDM
 
Wdm passive components
Wdm passive componentsWdm passive components
Wdm passive components
 

Similar to Comparison of coherent optical transmission systems performance by DP-QAM levels

Coded OFDM in Fiber-Optics Communication Systems with Optimum biasing of Laser
Coded OFDM in Fiber-Optics Communication Systems with Optimum biasing of LaserCoded OFDM in Fiber-Optics Communication Systems with Optimum biasing of Laser
Coded OFDM in Fiber-Optics Communication Systems with Optimum biasing of Laser
CSCJournals
 
bonfring asha.pdf
bonfring asha.pdfbonfring asha.pdf
bonfring asha.pdf
Asha S Radha
 
Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...
Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...
Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...
IOSRJECE
 
558 487-491
558 487-491558 487-491
558 487-491
idescitation
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
IOSR Journals
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
IOSR Journals
 
Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...
Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...
Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...
Tamilarasan N
 
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...
IJMER
 
Research paper (channel_estimation)
Research paper (channel_estimation)Research paper (channel_estimation)
Research paper (channel_estimation)
Prof Dr techn Murthy Chavali Yadav
 
40120140503007
4012014050300740120140503007
40120140503007
IAEME Publication
 
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN ChannelPerformance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
International Journal of Engineering Inventions www.ijeijournal.com
 
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
IJECEIAES
 
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Yayah Zakaria
 
Computer-Based Analysis of The Performance of Different Modulation Techniques...
Computer-Based Analysis of The Performance of Different Modulation Techniques...Computer-Based Analysis of The Performance of Different Modulation Techniques...
Computer-Based Analysis of The Performance of Different Modulation Techniques...
theijes
 
G1034247
G1034247G1034247
G1034247
IJERD Editor
 
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
IRJET Journal
 
Received Power performance in downlink architecture of Radio-over-Fiber Trans...
Received Power performance in downlink architecture of Radio-over-Fiber Trans...Received Power performance in downlink architecture of Radio-over-Fiber Trans...
Received Power performance in downlink architecture of Radio-over-Fiber Trans...
IOSR Journals
 
Performance evaluation of high mobility OFDM channel estimation techniques
Performance evaluation of high mobility OFDM channel estimation techniques Performance evaluation of high mobility OFDM channel estimation techniques
Performance evaluation of high mobility OFDM channel estimation techniques
IJECEIAES
 
Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...
Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...
Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...
ijtsrd
 
Investigation and Analysis of SNR Estimation in OFDM system
Investigation and Analysis of SNR Estimation in OFDM systemInvestigation and Analysis of SNR Estimation in OFDM system
Investigation and Analysis of SNR Estimation in OFDM system
IOSR Journals
 

Similar to Comparison of coherent optical transmission systems performance by DP-QAM levels (20)

Coded OFDM in Fiber-Optics Communication Systems with Optimum biasing of Laser
Coded OFDM in Fiber-Optics Communication Systems with Optimum biasing of LaserCoded OFDM in Fiber-Optics Communication Systems with Optimum biasing of Laser
Coded OFDM in Fiber-Optics Communication Systems with Optimum biasing of Laser
 
bonfring asha.pdf
bonfring asha.pdfbonfring asha.pdf
bonfring asha.pdf
 
Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...
Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...
Analysis of Nonlinear Signal Interference to Optimize the Coherent Optical Tr...
 
558 487-491
558 487-491558 487-491
558 487-491
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
 
Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...
Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...
Hybrid Adaptive Channel Estimation Technique in Time and Frequency Domain for...
 
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...Minimization Of Inter Symbol Interference Based Error in  OFDM System Using A...
Minimization Of Inter Symbol Interference Based Error in OFDM System Using A...
 
Research paper (channel_estimation)
Research paper (channel_estimation)Research paper (channel_estimation)
Research paper (channel_estimation)
 
40120140503007
4012014050300740120140503007
40120140503007
 
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN ChannelPerformance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
Performance Evaluation of Coded Adaptive OFDM System Over AWGN Channel
 
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
 
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
Performance Analysis of Post Compensated Long Haul High Speed Coherent Optica...
 
Computer-Based Analysis of The Performance of Different Modulation Techniques...
Computer-Based Analysis of The Performance of Different Modulation Techniques...Computer-Based Analysis of The Performance of Different Modulation Techniques...
Computer-Based Analysis of The Performance of Different Modulation Techniques...
 
G1034247
G1034247G1034247
G1034247
 
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
 
Received Power performance in downlink architecture of Radio-over-Fiber Trans...
Received Power performance in downlink architecture of Radio-over-Fiber Trans...Received Power performance in downlink architecture of Radio-over-Fiber Trans...
Received Power performance in downlink architecture of Radio-over-Fiber Trans...
 
Performance evaluation of high mobility OFDM channel estimation techniques
Performance evaluation of high mobility OFDM channel estimation techniques Performance evaluation of high mobility OFDM channel estimation techniques
Performance evaluation of high mobility OFDM channel estimation techniques
 
Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...
Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...
Comparison of Three Different Cancellation Schemes for Orthogonal Frequency D...
 
Investigation and Analysis of SNR Estimation in OFDM system
Investigation and Analysis of SNR Estimation in OFDM systemInvestigation and Analysis of SNR Estimation in OFDM system
Investigation and Analysis of SNR Estimation in OFDM system
 

More from IJECEIAES

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
IJECEIAES
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IJECEIAES
 
Neural network optimizer of proportional-integral-differential controller par...
Neural network optimizer of proportional-integral-differential controller par...Neural network optimizer of proportional-integral-differential controller par...
Neural network optimizer of proportional-integral-differential controller par...
IJECEIAES
 
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
IJECEIAES
 
A review on features and methods of potential fishing zone
A review on features and methods of potential fishing zoneA review on features and methods of potential fishing zone
A review on features and methods of potential fishing zone
IJECEIAES
 
Electrical signal interference minimization using appropriate core material f...
Electrical signal interference minimization using appropriate core material f...Electrical signal interference minimization using appropriate core material f...
Electrical signal interference minimization using appropriate core material f...
IJECEIAES
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
IJECEIAES
 
Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...
IJECEIAES
 
Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...
IJECEIAES
 
Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...
IJECEIAES
 
Smart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a surveySmart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a survey
IJECEIAES
 
Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...
IJECEIAES
 
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
IJECEIAES
 
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
IJECEIAES
 
Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...
IJECEIAES
 
Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...
IJECEIAES
 
Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...
IJECEIAES
 
Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...
IJECEIAES
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...
IJECEIAES
 

More from IJECEIAES (20)

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
 
Neural network optimizer of proportional-integral-differential controller par...
Neural network optimizer of proportional-integral-differential controller par...Neural network optimizer of proportional-integral-differential controller par...
Neural network optimizer of proportional-integral-differential controller par...
 
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
 
A review on features and methods of potential fishing zone
A review on features and methods of potential fishing zoneA review on features and methods of potential fishing zone
A review on features and methods of potential fishing zone
 
Electrical signal interference minimization using appropriate core material f...
Electrical signal interference minimization using appropriate core material f...Electrical signal interference minimization using appropriate core material f...
Electrical signal interference minimization using appropriate core material f...
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
 
Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...
 
Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...
 
Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...
 
Smart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a surveySmart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a survey
 
Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...
 
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
 
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
 
Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...
 
Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...
 
Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...
 
Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...
 

Recently uploaded

openshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoinopenshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoin
snaprevwdev
 
OOPS_Lab_Manual - programs using C++ programming language
OOPS_Lab_Manual - programs using C++ programming languageOOPS_Lab_Manual - programs using C++ programming language
OOPS_Lab_Manual - programs using C++ programming language
PreethaV16
 
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
upoux
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Transcat
 
Impartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 StandardImpartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 Standard
MuhammadJazib15
 
Unit -II Spectroscopy - EC I B.Tech.pdf
Unit -II Spectroscopy - EC  I B.Tech.pdfUnit -II Spectroscopy - EC  I B.Tech.pdf
Unit -II Spectroscopy - EC I B.Tech.pdf
TeluguBadi
 
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
pvpriya2
 
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
ijseajournal
 
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
sydezfe
 
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
IJCNCJournal
 
Asymmetrical Repulsion Magnet Motor Ratio 6-7.pdf
Asymmetrical Repulsion Magnet Motor Ratio 6-7.pdfAsymmetrical Repulsion Magnet Motor Ratio 6-7.pdf
Asymmetrical Repulsion Magnet Motor Ratio 6-7.pdf
felixwold
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
VANDANAMOHANGOUDA
 
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
GiselleginaGloria
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
PreethaV16
 
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
upoux
 
Beckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview PresentationBeckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview Presentation
VanTuDuong1
 
Accident detection system project report.pdf
Accident detection system project report.pdfAccident detection system project report.pdf
Accident detection system project report.pdf
Kamal Acharya
 
Butterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdfButterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdf
Lubi Valves
 
Properties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure MeasurementProperties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure Measurement
Indrajeet sahu
 
Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.
supriyaDicholkar1
 

Recently uploaded (20)

openshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoinopenshift technical overview - Flow of openshift containerisatoin
openshift technical overview - Flow of openshift containerisatoin
 
OOPS_Lab_Manual - programs using C++ programming language
OOPS_Lab_Manual - programs using C++ programming languageOOPS_Lab_Manual - programs using C++ programming language
OOPS_Lab_Manual - programs using C++ programming language
 
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
一比一原版(uofo毕业证书)美国俄勒冈大学毕业证如何办理
 
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...
 
Impartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 StandardImpartiality as per ISO /IEC 17025:2017 Standard
Impartiality as per ISO /IEC 17025:2017 Standard
 
Unit -II Spectroscopy - EC I B.Tech.pdf
Unit -II Spectroscopy - EC  I B.Tech.pdfUnit -II Spectroscopy - EC  I B.Tech.pdf
Unit -II Spectroscopy - EC I B.Tech.pdf
 
Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...Determination of Equivalent Circuit parameters and performance characteristic...
Determination of Equivalent Circuit parameters and performance characteristic...
 
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...Call For Paper -3rd International Conference on Artificial Intelligence Advan...
Call For Paper -3rd International Conference on Artificial Intelligence Advan...
 
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
一比一原版(uoft毕业证书)加拿大多伦多大学毕业证如何办理
 
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...
 
Asymmetrical Repulsion Magnet Motor Ratio 6-7.pdf
Asymmetrical Repulsion Magnet Motor Ratio 6-7.pdfAsymmetrical Repulsion Magnet Motor Ratio 6-7.pdf
Asymmetrical Repulsion Magnet Motor Ratio 6-7.pdf
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
 
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
3rd International Conference on Artificial Intelligence Advances (AIAD 2024)
 
Object Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOADObject Oriented Analysis and Design - OOAD
Object Oriented Analysis and Design - OOAD
 
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
 
Beckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview PresentationBeckhoff Programmable Logic Control Overview Presentation
Beckhoff Programmable Logic Control Overview Presentation
 
Accident detection system project report.pdf
Accident detection system project report.pdfAccident detection system project report.pdf
Accident detection system project report.pdf
 
Butterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdfButterfly Valves Manufacturer (LBF Series).pdf
Butterfly Valves Manufacturer (LBF Series).pdf
 
Properties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure MeasurementProperties of Fluids, Fluid Statics, Pressure Measurement
Properties of Fluids, Fluid Statics, Pressure Measurement
 
Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.
 

Comparison of coherent optical transmission systems performance by DP-QAM levels

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 10, No. 3, June 2020, pp. 2513~2522 ISSN: 2088-8708, DOI: 10.11591/ijece.v10i3.pp2513-2522  2513 Journal homepage: http://ijece.iaescore.com/index.php/IJECE Comparison of coherent optical transmission systems performance by DP-QAM levels Abdul Gafur1 , M. S. Islam2 , Syed Zahidur Rashid3 1,2 Department of Physics, Jahangirnagar University, Bangladesh 1,3 Department of Electronic and Telecommunications Engineering, International Islamic University Chittagong, Bangladesh Article Info ABSTRACT Article history: Received Sep 25, 2019 Revised Nov 5, 2019 Accepted Nov 25, 2019 In this paper, we investigated the Coherent Optical Transmission System (COTS) performance for multiple types of DP-QAM levels considering various CW laser input power. We compared the performance of COTS for 100 Gb/s with DP-32QAM, DP-64QAM and DP-128QAM respectively. We also inspected the relationship among Optical Signal to Noise Ratio (OSNR), Error Vector Magnitude (EVM) and Bit Error Rate (BER) which are found in accordance for both simulation curves and constellation diagrams. Results are obtained by experiments with DP-32QAM, DP- 64QAM and DP-128QAM modulations techniques at symbol rate of 10 Gsymbol/s, 8.33 Gsymbol/s and 7.142 Gsymbol/s respectively. This work is completely based on simulation in Optisystem simulation setup. Keywords: BER DP-QAM EVM OSNR Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Abdul Gafur, Department of Electronic and Telecommunication Engineering, International Islamic University Chittagong, Kumira, Chittagong-4318, Bangladesh. Email: agafur_cox@yahoo.com 1. INTRODUCTION At present, realizing higher bit rates, capacity and lower cost per bit for long haul coherent optical transmission systems (COTS) are leading research interests [1, 2]. It is well known that up to 10 Gb/s On-Off Keying (OOK) with association of either return-to-zero (RZ) or non-return-to-zero (NRZ) modulation technique works very well from transceiver point of view. But for higher data rates, these modulation formats also show some drawbacks such as spectral inefficiency along with linear and nonlinear effects of optical fiber [3]. For COTS, the parameters upon which efficiency relies on are capacity, optical link distance, spectral efficiency, bandwidth of the channel and optical system design [4]. Consequently, advanced modulation formats are extensively applied for meeting continuously growing demands in COTS [5-7]. Moreover COTS has the merits of anti-polarization dispersion and better sensitivity in the receiver which is not the case for direct detection modulation technique. Also COTS is compatible with Multi level modulation format and has better spectral efficiency. Due to these advantages, COTS is employed in DWDM systems [8]. Besides QAM has the capability to obtain very higher spectral efficiency over optical frequency bands [9]. Thus DP-QAM is one of the potential modulation candidates for COTS [10]. DP-QAM modulation levels are widely employed for satisfying increasing demands of higher spectral efficiency as well as higher capacity whereas it also shields against linear and nonlinear affects in optical fibers [11]. This modulation format is an operator for both the amplitude and phase alteration along with dual polarization in the COTS [12]. Furthermore Dual polarization QAM provides higher bits/symbol rate which ultimately leads to efficient utilization of the frequency spectrum [13]. On the contrary, more inspection and
  • 2.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522 2514 safe guarding are must for Dual polarization QAM [14]. In situations where optical channels are impaired by amplified spontaneous emission (ASE) noises, the error vector magnitude (EVM) and the optical signal to noise ratio (OSNR) play a pivotal role in measuring the performance of those optical channels [2, 5]. By the same token, it is very much important to portray optical I-Q transmitters [15]. Still now, the interaction of BER and OSNR with respect to EVM is not well ascertained in COTS [16]. Moreover, EVM is better metric than BER when symbol sequences are unknown. Thereby association between EVM and BER are highly momentous for COTS [15]. In this paper the effect of nonlinear distortion on DP-QAM based COTS was analyzed in Optisystem software environment. In case of QAM, information encoding is done on amplitude and phase which required very sophisticated analysis and quantization technique to measure the efficiency of COTS [17]. EVM and OSNR are widely applied parameters for evaluating the performance of COTS where the optical channels are adversely affected by ASE noise and I-Q transmitters [17]. With the help of EVM we can calculate the deviation of actual received data from the expected value of demodulated data [18]. But signal-to-noise ratio (SNR), EVM and BER originally derived wireless digital communications which are not compatible with optical communications systems [5]. Proper algorithm of COTS is necessary for accurately validating the interdependency between EVM and BER [17, 19]. The prime parameters that were analyzed here are Input transmitting power, propagation optical length, EVM, BER and OSNR. Proper investigation of EVM is an inevitable which necessitates the derivation of an analytical closed form expression for EVM [20]. In addition to that simulated outputs of the constellation diagrams for x polarization and y polarization were found in accordance to our findings. We derived a novel expression presenting the relationships among EVM, OSNR and BER for the designed transmitter receiver of the COTS. Then we designed the algorithm for simulation flow representing the complete simulated COTS architecture. We presented our simulation results along with comparison table containing the existing works and thereby validation of our findings from the simulated COTS is shown. This paper is decorated as follows: In Section 1, in the introduction part we provided background with literature review, the problem statement and our novel analytical expression where the interaction among BER, OSNR and EVM are presented mathematically. In Section 2, analytical analysis of the work is presented. In Section 3 describes the simulation layout of the systems. In Section 4, we incorporated the results and findings. Conclusion of the paper and future directions are provided in Section 5. 2. ANALYTICAL ANALYSIS EVM is the measurement of the difference between reference signal and received signal. Consequently, magnitude error, vector error and phase error produced between the transmitted symbols and received symbols in COTS. The mathematical expression [3, 21] to determine the EVM of the COTS is as follows D nSnS N EVM N n rt   1 2 )()( 1 (1) where, N is the total number of transmitted bits, St (n) is the function of reference transmitted bits, Sr (n) is the function of received bits in the systems and D is the operator which maximize the magnitude (Rmax) or either maximize the normalized or average bit power (P0) for all transmitted bits for the preferred modulation levels. As a result, EVM is inversely proportional to the signal to noise ratio (SNR) [22]. OSNR is equal to the multiplication of SNR with bit rate (Rs) when the result of multiplication is divided by the reference optical bandwidth (Bref) [2]. The following formula [3, 16, 23, 24] is to measure the bit error rate for the EVM which is expressed below in the (2)              MR BOSNR L L kerfc L L BER s ref 2 2 21 2 1 log )()(2 )1( log3 log )1( (2) In (2), Rs represents the bit rate. Bref is the reference optical bandwidth. L and M are the bit levels and constellation points number of the desired modulation levels respectively. In this way, for DP-32QAM, DP-64QAM and DP-128QAM formats, L and M produce the 5, 6, 7 bits and 32, 64 and 128 constellation points respectively. OSNR is the optical signal to noise ratio. k is the ratio of received and typical constellation points in COTS for DP-QAM levels.
  • 3. Int J Elec & Comp Eng ISSN: 2088-8708  Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur) 2515 3. SIMULATION LAYOUT Figures 1, 2, 3 and Figures 4(a), 4(b) represent [3, 11, 25, 26] the block diagram of COTS, algorithm of simulation flow for DP-QAM based COTS, architecture test bed of COTS, layout of coherent QAM square DP transmitter and receiver of COTS respectively. The system consists of coherent QAM square DP transmitter; optical link and coherent QAM square DP Receiver. The optical link section consists of optical fiber and EDFA. Data rate of 100 Gb/s is considered to simulate the test bed of COTS with DP-QAM in Optisystem optical simulation software tool. In this scenario, coherent QAM square DP transmitter transmits at the wavelength of 193.1 THz for various DP-QAM levels. Then the transmitted signal is separated in X and Y components. Consequently, the outputs go through the I-Q modulator and thereby yield DP-QAM signals. Now the modulating DP-QAM signals passed through the optical amplifier. The amplified signal passed through the optical link with 80km span length considering single mode fiber (SMF). To compensate the fiber attenuation and nonlinearities of the SMF, the optical amplifier used in the link. At the receiver section, coherent QAM square DP receiver is employed to detect the optical signal. In receiver module PBS (Polarization Beam splitter) creates two reciprocally polarized signals. For the detection of four optical fields there are four photodiodes are used to convert the optical signal to electrical signal. After that the electrical signal is passed through the analog to digital converter (ADC) to get the digital signals. Eventually DSP processor module used in the simulation for minimization of frequency and phase differences that occur in the COTS which is then go through the threshold based circuitry. Afterward bit error rate test tool is used to assess the BER performance of COTS for DP-QAM levels. Figure 1. Schematic block diagram of simulation setup for COTS Figure 2. Algorithm of simulation flow for DP-QAM based COTS, where PBS-polarization beam splitter, MZM- mach-zehnder modulator, OA- optical amplifier, PIN-p-i-n photodiode
  • 4.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522 2516 Figure 3. Architecture of test bed COTS (a) Figure 4. (a) Optisystem layout of coherent QAM square DP transmitter, (b) Optisystem layout of coherent QAM square DP receiver
  • 5. Int J Elec & Comp Eng ISSN: 2088-8708  Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur) 2517 4. RESULTS Global parameters for the system are data rate of 100Gb/s, dual polarization, square constellation types, 65536 number of samples which are used to simulate the COTS. As a result the symbol rate for DP-32QAM, DP-64QAM and DP-128QAM are 10 Gsymbol/s, 8.33 Gsymbol/s and 7.142 Gsymbol/s respectively. The operating channel wave length is 193.1THz. The operating input power for CW Laser is -20dBm to 5dBm. The operating Optical Signal to Noise Ratio (OSNR) is 12 to 30 dB. The fiber link is of 80 km span length. The fiber attenuation is 0.2dB/km. The fiber dispersion coefficient is 16ps/nm-km. The gain of EDFA is 16dB and the noise figure is 4dB. Fiber Nonlinearities is 26e-021 m2 /w and fiber effective area is 80e-012 . Following the systematic procedure and test bed of COTS, we have found the following results. Figure 5 represents the optical modulating signal displays in Optical Spectrum Analyser (OSA) before sending through the optical link. After the DP-QAM the input message signal as shown in Figure 5, is transmitted through the optical Channel. In the receiver module the downlink receiver is used to demodulate the received signal which was transmitted through the optical channel. And it is splitted in electrical form to the in channel and quadrature channel parts. Figure 5. Input power versus frequency of CW laser Figure 6 represents the comparison for input power (dBm) for DP-QAM level schemes in terms of EVM (%). In Figure 6, it is found that the propagation efficiency is examined by changing the CW input power to observe the corresponding impact of CW input power on Error vector magnitude(%) for the distance of back to back (B2B), 80 km and 400 km after reimbursement for the dispersion effect of the optical propagation system. In this setup the EVM is calculated in case of DP-32QAM, DP-64QAM, and DP-128QAM. The setup reveals that EVM figure for various modulation techniques has an inclination to down fall behavior against CW input power. At -9dBm, there is an unusual phenomenon that the linearity of the output graphs tends to more down wards. At input power -9 dBm, DP-128QAM shows the EVM of 9.5%, 9.6%, and 10.7% where DP-64QAM exhibits the EVM of 12.24%, 13.3% and 15.1% and lastly DP-32QAM provides the EVM of 17.45%, 19.23% and 22.34% for back to back, 1 span and 5 spans respectively. Figure 7 exposes the behavior of EVM with respect to propagation length at CW input powers of 0 dBm and 5 dBm in case of DP-32QAM, DP-64QAM, and DP-128QAM. It is observed from the figure that EVM increases with the increment of the distance. At 100 km to 220 km, among all of the modulation formats considered here in this setup, 0 dBm provides higher EVM as compared to 5dBm. At 220km to 600 km, DP-64QAM shows higher EVM for 5dBm as compared to 0dBm. On the other hand, DP-32QAM and DP-128QAM both provides higher EVM in case of 0dBm as compared to 5dBm. And at 600 to 1200km point it reaches to the pick point in case of input power of 0dBm and 5dBm. It is interesting to observe that DP-32QAM, DP-64QAM, both shows almost similar behavioral patterns for 0dBm and 5dBm. On the contrary, DP-128QAM provides more %EVM for 5dBm input power where it shows lesser EVM for 0dBm.
  • 6.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522 2518 Figure 6. Performance comparison for input power (dBm) for DP-QAM level schemes in terms of EVM (%) Figure 7. Propagation length (km) versus error vector magnitude (%) Figure 8 reveals the BER performance with respect to the OSNR. This graph of figure exposes that DP-128QAM 5 spans, DP-128QAM b2b and DP-128QAM 1 span are not suitable for error free transmission at the simulated OSNR range. Besides, DP-32QAM B2B, DP-64QAM B2B gives lower BER which is compatible with our basic prediction. But DP-128QAM b2b has deviated from normal behavior, thereby not supporting acceptable BER performance. On the contrary, DP-32QAM 1 span provides very virtuous BER performance. We have observed that similar better output are obtained for DP-32QAM 1 span and DP-64QAM 1 span. Although, DP-32QAM 5 span and DP-64QAM 5 spans yields worse performance which is not acceptable for error free communications. These observations are also confirmed by the constellation point evidences shown in Table 1. Table 2 represents the comparison among related works. It validates that our design performs better in terms of OSNR than previous works. Our investigation shows the maximum OSNR of 28dB at DP-32QAM level compared to existing works in Table 2.
  • 7. Int J Elec & Comp Eng ISSN: 2088-8708  Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur) 2519 Figure 8. Performance comparison for DP- QAM levels with respect to OSNR versus log of BER Table 1. Constellations diagrams of DP-QAM levels for COTS performance comparison DP-QAM Levels Back to Back Propogation Propagation for 80 km ( 1 Span) DP-32QAM (X Polarization) DP-32QAM (Y Polarization) DP-64QAM (X Polarization)
  • 8.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522 2520 Table 1. Constellations diagrams of DP-QAM levels for COTS performance comparison (continue) DP-QAM Levels Back to Back Propogation Propagation for 80 km ( 1 Span) DP-64QAM (Y Polarization) DP-128QAM (X Polarization) DP-128QAM (Y Polarization) Table 2. Comparison table of our work with previous works Factors Ref. No. [3] Ref. No. [8] Ref. No. [11] Ref. No. [13] Current Investigation Technology Coherent Optical Systems Coherent Optical Systems Coherent Optical Systems Coherent detection Coherent Optical Systems Modulation Formats Advanced Advanced M-QAM Advanced M-QAM Data Rate(Gbps) 112 904 400 256 100 Channel Input power(dBm) -20 to 5 0 -------- -3 to 3 -20 to 5 Wavelength/ frequency 193.1THz 1550 nm -------- 1557.36nm 193.1 THz Fiber attenuation(dB/km) 0.2 0.2 -------- -------- 0.2 Span length(km) 80 80 -------- 75 80 Dispersion (ps/nm/km) 16 16.75 -------- -------- 16 Polarization Type Dual Dual PM SP and Dual Dual Modulation signal level 32QAM 128QAM 32QAM and 64QAM 128QAM and 16QAM 32QAM Amplifier EDFA EDFA EDFA EDFA Amplifier Gain (dB) 16 16 -------- -------- 16 Noise Figure(dB) 4 4 -------- -------- 4 OSNR(dB) 23.5 27 21.8 and 24.3 18 and 19 28
  • 9. Int J Elec & Comp Eng ISSN: 2088-8708  Comparison of coherent optical transmission systems performance by DP-QAM levels (Abdul Gafur) 2521 5. CONCLUSION We exhibited the COTS with multiple types of DP-QAM levels. The performance of the DP-32QAM, DP-64QAM and DP-128QAM modulation formats with the same data rate (100Gb/s) and different symbol rates (10 Gsymbol/s, 8.33 Gsymbol/s and 7.142 Gsymbol/s respectively) have been compared in terms of CW input power. The findings based on the performance curves and constellation diagrams are in harmony with the analytical manifestation and are strong evidences to our explanation of the outputs. This simulation work helps the calculation of EVM with respect to propagation length, input channel power for DP-QAM levels. It is interesting that for the same test bed of COTS, three DP- QAM levels performed differently. This investigation improves the optical transmission systems by minimizing the error vector magnitude (EVM). In this simulation, it is found that DP-128QAM outperforms DP-32QAM and DP-64QAM. DP-128QAM has a potentiality to rescue from the detrimental factors that arises from long haul optical fiber communications link. ACKNOWLEDGEMENTS The authors are thankful to University Grants Commission of Bangladesh (UGC) for sponsoring this research work under the research scheme grant, 2017. REFERENCES [1] Yuki Koizumi, et al., “1024 QAM (60 Gbit/s) single carrier coherent optical transmission over 150 km,” Optics Express, vol. 20, no. 11, May 2012. [2] Xiaosheng Xiao, et al., “Influence of ASE noise on the signal OSNR and error vector magnitude in coherent optical communications,” Optoelectronics Global Conference, Aug. 2015. [3] Monika Mehra, et al., “Performance Analysis of Coherent Optical Communication System for Higher order Dual Polarization Modulation Formats,” Optik- International Journal for Light and Electron Optics, vol. 135, pp. 174-179, Apr. 2017. [4] Peter J. Winzer, “High-Spectral-Efficiency Optical Modulation Formats,” Journal of Lightwave Technology, vol. 30, no. 24, pp. 3824-3835, 2012. [5] Huaqiang Qin, et al., “Modeling of the Impacts of Nonlinear Propagation on EVM for Digital Coherent Receivers,” 16th International Conference on Optical Communications and Networks (ICOCN), Aug. 2017. [6] Z. Dong, et al., “OSNR monitoring for QPSK and 16-QAM systems in presence of fiber nonlinearities for digital coherent receivers,” Optics express, vol. 20, pp. 19520-19534, 2012. [7] A. Carena, et al., “Statistical characterization of PM-QPSK signals after propagation in uncompensated fiber links,” in Proc. ECOC, 2010. [8] Guang Li, et al., “A Pulse Shaping Based Optical Transmission System of 128QAM for DWDM with N × 904 Gbps,” Applied Sciences, vol. 9, no. 5, pp. 988, Mar. 2019. [9] Seiji Okamoto, et al., “512 QAM (54 Gbit/s) coherent optical transmission over 150 km with an optical bandwidth of 4.1 GHz,” 36th European Conference and Exhibition on Optical Communication (ECOC), Sep. 2010. [10] Júlio César Medeiros Diniz, et al., “Optimization of DP-M-QAM Transmitter Using Cooperative Coevolutionary Genetic Algorithm,” Journal of Lightwave Technology, vol. 36, no. 12, Jun. 2018. [11] E. Lach, et al., “Modulation formats for 100 G and beyond,” Optical Fiber Technology, vol. 17, no. 5, pp. 377-386, 2011. [12] B. Szafraniec, et al., “Performance monitoring and measurement techniques for coherent optical systems,” Journal of Lightwave Technology, vol. 31, pp. 648–663, Feb. 2013. [13] A. S. Kashi, et al., “Information Rates for the SP 128-QAM and DP 16-QAM Modulation Formats,” European Conference on Optical Communication (ECOC), Oct. 2015. [14] L. Alberto Campos, et al., “Proactive Network Maintenance Evolution to the Optical Domain in Coherent Optics,” Advancing Technology's Agenda, Atlanta, GA, Oct. 2018. [15] Martin Hudliˇcka, et al., “BER Estimation from EVM for QPSK and16-QAM Coherent Optical Systems,” IEEE 6th International Conference on Photonics (ICP), Mar. 2016. [16] Rene Schmogrow, et al., “Error Vector Magnitude as a Performance Measure for Advanced Modulation Formats,” IEEE Photonics Technology Letters, vol. 24, pp. 61-63, Jan. 2012. [17] I. Fatadin, "Estimation of BER from Error Vector Magnitude for Optical Coherent Systems,” Photonics, vol. 3, no. 2, pp. 21, 2016. [18] Maoliu Lin, et al., “EVM Simulation and its Comparison with BER for Different Types of Modulation,” TENCON, Nov. 2007. [19] Qinghua Yu, et al., “Research on Evaluation of BER in Communication system,” 15th International Conference on Optical Communications and Networks, Sep. 2016. [20] A. Georgiadis, et al., "Evaluation of error vector magnitude due to combined IQ imbalances and phase noise,” IET Circuits, Devices & Systems, vol. 8, no. 6, pp. 421-426, 2014.
  • 10.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 2513 - 2522 2522 [21] Ruijiao Zhang, et al., “Full-duplex fiber-wireless link for alternative wired and 40-GHz band wireless access based on differential quaternary phase-shift optical single sideband millimeter-wave signal,” Optical Engineering, vol. 54, Feb. 2015. [22] Rishad Ahmed Shafik, et al., “On the Extended Relationships among EVM, BER and SNR as Performance Metrics,” ICECE, 2006. [23] Chien-Yu Lin, “Digital Nonlinear Compensation for Next-Generation Optical Communication Systems Using Advanced Modulation Formats,” Ph.D dissertation, Faculty of Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Jan. 2014. [Online], Available: https://d-nb.info/1054331367/34. [24] By Rene´-Jean Essiambre, et al., “Capacity Trends and Limits of Optical Communication Networks,” Proceedings of the IEEE, vol. 100, no. 5, May 2012. [25] [Online], Available: https://optiwave.com. [26] Vipanpreet Kaur, et al., “A Study of Different Forms of Dual Polarization–Quadrature Amplitude Modulation and its Performance Analysis in Terms of Q-Factor and Distance,” Journal of Optical Communications, Sep. 2018.