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International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 8 105 – 109
_______________________________________________________________________________________________
105
IJRITCC | August 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
Comparative Analysis of Dispersion Compensating Fiber (DCF) and Multiple
Optical Phase Conjugation (OPC) modules used for Dispersion Compensation
and Nonlinearity Mitigation
Aradhana Asiwal
PG Student, ECE Department, PEC University of Technology,
Chandigarh, India
Email: annu.asiwal1991@gmail.com
Divya Dhawan
Assistant Professor, ECE Department, PEC University of
Technology, Chandigarh, India
Email: divyadhawan@pec.ac.in
Abstract: Optical communication when used for long haul communication is characterized by dispersion and nonlinearities. Different
techniques are used for the dispersion compensation and nonlinearity mitigation. Two of these techniques are Dispersion Compensating Fiber
(DCF) and Optical Phase Conjugation (OPC). In this paper the performance of the system is analyzed by comparing various results at the
receiver. A 10Gb/s NRZ signal is launched into a long Single Mode Fiber (SMF). Results in the terms of Q-factor (linear) and BER are observed
by varying fiber length. Optical system consisting of one OPC and two OPC is also analyzed for different transmission distance. Simulation
results show that, when compared with optical system consisting of one OPC, Q-factor improvement of 3.51 is achieved for the optical system
consisting of two OPC. Nonlinearities are mitigated using DCF and OPC and on comparing with DCF, Q-factor improvement of 11.3 is
achieved for OPC.
Keyword: Dispersion Compensating Fiber (DCF); Optical Phase Conjugation (OPC); Single Mode Fiber (SMF).
__________________________________________________*****_________________________________________________
1. INTRODUCTION
Due to demand of internet in daily life, there is a rapid
growth in communication technologies like optical
communication which have some promising advantages in
terms of bandwidth, input power and losses in the channel over
other communication forms. But in optical communication,
dispersion and nonlinearities are two major problems faced by
systems installed worldwide. The reliability of optical system
is affected by broadening of pulse called dispersion which
causes Inter-Symbol Interference (ISI) and it limits the length
and capacity of the transmission system. Optical system
performance degrades by chromatic dispersion (CD) with
length of fiber more than 100kms. To compensate dispersion
few techniques have been proposed for optical system[1],
among them Optical phase conjugation, uses phase conjugated
wave to compensate dispersion at the receiver which is
innovative over other compensation techniques like DCF and
Fiber Bragg Grating (FBG), etc.
2. DISPERSION COMPENSATING TECHNIQUES
2.1 Dispersion Compensating Fiber (DCF)
DCF is known to be a good technology for the compensation
of dispersion. The positive dispersion of the conventional fiber
is reduced by large negative dispersion coefficient of DCF.
Proper length of DCF is required which can compensate the
dispersion of conventional fiber.
Depending on the position of the DCF, Compensation is done
by three different methods:
A) Pre-Compensation
B) Post-Compensation
C) Symmetrical-Compensation
A DCF must have small insertion loss, low optical
nonlinearity, small polarization mode dispersion and it should
also have large chromatic dispersion coefficient to decrease the
size of DCF. Always a small size of the DCF is better. Net
dispersion is reduced to zero if a DCF with negative dispersion
is placed after a SMF with positive dispersion.
× = - × …….(1)
Where D is the dispersion and L is length of each fiber
respectively [2].
2.2 Optical Phase Conjugation (OPC)
Optical phase conjugation (OPC), also referred as Mid Span
spectral inversion (MSSI), is a promising technology firstly
proposed by Yariv et al. in 1979 to mitigate impairments in
long-haul communication systems such as Kerr effect and
chromatic dispersion [3][4]. OPC is placed at the mid of the
fiber link so that the distorted signal after passing through the
first fiber span get compensated after passing through OPC [5].
The principle of operation for OPC block is phase inversion
according to:
Ein(t)= A(t) (2)
Eout(t)= ηA(t) (3)
Where η is device efficiency, фshift is a extra phase shift. Here
фshift is equal to π/2 and η=1 [6].
In this paper, the use of DCF and OPC is proposed to
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 8 105 – 109
_______________________________________________________________________________________________
106
IJRITCC | August 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
compensate the CD and nonlinearities in 100 km long Single
Mode Fiber (SMF). Then this length is varied by increasing
fiber spans. Simulation results show that, when OPC is
compared with DCF, improvement in Q-factor is achieved.
3. SIMULATION SETUP
Figures 1, 2 and 3 show the simulation setup of optical
communication system. Simulation is carried out using Optsim
Software to demonstrate the effect of various dispersion
compensation and nonlinearity mitigation techniques and the
results are being compared.
Simulation setup of an optical communication system is
designed in which transmitter consists of a PRBS (Pseudo
Random Bit Sequence) generator which transmits data at a bit
rate of 10Gbps. PRBS transmit the data to Electrical Signal
Generator which uses a NRZ modulation and a voltage signal.
A continuous wave (CW) laser with external modulation at a
wavelength of 1550nm is used as a source. Laser power used is
0dBm (1mW). Data from Electrical Signal Generator and
continuous wave laser is transmitted to Electro absorption
Modulator where it gets modulated using Mach Zehnder
modulator. The modulated signal is transmitted through a
transmission distance of 100 km. Transmission distance consist
of single mode fiber (SMF) whose length is 80 km and
Dispersion compensation fiber (DCF) whose length is 20 km.
Loss in single mode fiber is 0.25dB/km and dispersion slope is
90 S/ and loss in Dispersion compensating fiber is
0.5dB/Km and dispersion slope is -360 S/ . The positive
dispersion of SMF is compensated by negative dispersion of
DCF. Nonlinearity factor and diameter of SMF and DCF are
2.6 and 8.2 m respectively. Data is transmitted
through the fiber and received at the receiver. Before receiver
the data is passed through the optical power normalizer whose
average output power is -22dBm. Receiver with low pass filter
and 1 GHz bandwidth is used followed by a BER tester. Eye
diagram analyzer is also used. Property Maps are used to
observe the dispersion maps of Pre-, Post- and Symmetrical-
DCF. Optical Phase Conjugation (OPC) is also used in place of
DCF for dispersion compensation. It is used in the middle of
the fiber link as shown in Fig. 4. The length of fiber before and
after OPC is same to mitigate the dispersion and nonlinearities
more effectively.
Figure 1 Simulation setup of an optical communication system
consisting of DCF for dispersion compensation
Figure 2 Simulation setup of an optical communication system
consisting of DCF for nonlinearity mitigation
Figure 3 Simulation setup of an optical communication system
consisting of two OPC
4. SIMULATION RESULTS AND DISCUSSION
The performance of the system is analyzed in terms of Q-factor
and BER.
Figure 4 shows that Q-factor decreases and BER increases as
the transmission reach increases. But using two OPC instead of
one OPC is more beneficiary for an optical communication
system. Distortion is very less and high Q-factor is achieved
[7][8]. For a distance of 100 km, the Q-factor achieved for an
optical communication system consisting of two OPC is 21.4
which is almost twice as that of system consisting of one OPC.
High Q-factor and low BER i.e., 21.4 and 2.34 are
achieved respectively. At 120 km distance, the Q-factor for one
OPC and two OPC are 4.12 and 9.06 respectively. Again, at
120 km Q-factor of optical communication system consisting
of two OPC is more than twice as that of system consisting of
one OPC. BER achieved for an optical communication system
consisting of one OPC and two OPC are 1.86 and 6.57
respectively. The BER of an optical communication system
consisting of two OPC is very less as compared to an optical
communication system consisting of one OPC. For 140 km
transmission distance, Q-factor for one OPC and two OPC are
0 and 3.51 respectively and BER values are 1 and 2.22
respectively for one OPC and two OPC.
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 8 105 – 109
_______________________________________________________________________________________________
107
IJRITCC | August 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
(a)
(b)
Figure 4 Comparison of an optical system consisting of One OPC and
Two OPC (a) Q-factor vs. Distance and (b) BER vs. Distance
(a)
(b)
Figure 5 Performance of an optical system using Pre-DCF (a) Q-
factor vs. Distance and (b) BER vs. Distance
(a)
(b)
Figure 6 Performance of an optical system using Post-DCF (a) Q-
factor vs. Distance and (b) BER vs. Distance
(a)
(b)
Figure 7 Performance of an optical system using Symmetrical-DCF
(a) Q-factor vs. Distance and (b) BER vs. Distance
Figures 5, 6 and 7 show the Q-factor and BER performance of
Pre-, Post-, Symmetrical-Compensation. Maximum
nonlinearities are mitigated for 60 km transmission distance.
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 8 105 – 109
_______________________________________________________________________________________________
108
IJRITCC | August 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
As the transmission distance increases, Q-factor decreases and
BER increases. For the transmission distance of 60 km, the
maximum and minimum value of Q-factor and BER are 17.934
and 3.22 respectively at launch power of -2dBm.
Maximum Q-factor and minimum BER for different
transmission distance after mitigating nonlinearities using Post-
DCF. Maximum nonlinearities are mitigated for 60 km
transmission distance. As the transmission distance increases,
the Q-factor decreases and BER increases. For the transmission
distance of 60 km, the maximum and minimum value of Q-
factor and BER are 24.811 and 3.41 respectively at
launch power 0dBm which are improved results than Pre-DCF.
Maximum Q-factor and minimum BER for different
transmission distance after mitigating nonlinearities using
symmetrical-DCF. Maximum nonlinearities are mitigated for
60 km transmission distance. The values of Q-factor and BER
observed for a transmission distance of 60 km are 25.811 and
3.41 respectively at launch power 0dBm.
(a)
(b)
Figure 8 Comparison of DCF and OPC for 120km transmission
distance (a) Q-factor vs. Distance and (b) BER vs. Distance
Performance of nonlinearity mitigation techniques i.e., DCF
and OPC is observed for a transmission distance of 120 km.
Results of nonlinearity mitigation are observed by varying
launch power from -10dBm to 4dBm in terms of Q-factor and
BER as shown in Figure 8. Nonlinearities are mitigated by
using Pre-DCF at a distance of 120 km by varying launch
power from -10dBm to 4dBm. The maximum and minimum
values of Q-factor and BER are 12.7 and 3.18 respectively
at launch power -4dBm. Later on, nonlinearities are mitigated
by using Post-DCF at same distance and same power. The
maximum and minimum values of Q-factor and BER are
17.2dB and 7.01 respectively at launch power -2dBm.
Performance of Post-DCF is improved as compared to Pre-
DCF. Now nonlinearities are mitigated using Symmetrical-
DCF for the same distance and same power. The maximum
and minimum values of Q-factor and BER are 18.4 and
7.01 respectively at launch power -2dBm. Results of
Symmetrical-DCF are almost similar to Post-DCF. There is
very little increment in Q-factor. Finally, the nonlinearities are
mitigated using Optical Phase Conjugation (OPC). The
maximum and minimum values of Q-factor and BER are 29.7
and 1.87 respectively at launch power -4dBm. The results
of OPC are much improved as compared to DCF. High Q-
factor and very small BER is achieved using this technique.
The Q-Factor of OPC is better than that of DCF because OPC
is implemented in the middle of the transmission link and the
effect of dispersion is equalized [9][10].
5. CONCLUSION
Though DCF is a good technique for dispersion
compensation but because of certain disadvantages like high
insertion loss, bulkiness, limited input power, presence of
residual dispersion, high order derivatives, high attenuation,
low negative dispersion, etc., OPC is more suitable and reliable
for the compensation. When OPC is used results in terms of Q-
factor and BER are improved to a greater extent. Many studies
are accepted in this perspective to reduce the effect of
Dispersion to large extent by introducing new system design.
REFERENCES
[1] E. Torrengo et al., “Influence of Pulse Shape in 112-Gb / s
WDM PDM-QPSK Transmission,” vol. 22, no. 23, pp. 1714–
1716, 2010.
[2] D. Dhawan and N. Gupta, “OPTIMIZATION OF FIBER
BASED DISPERSION COMPENSATION IN RZ AND NRZ
DATA MODULATION FORMATS Abbreviations 2 .
Dispersion Compensation Schemes Employed,” vol. 6, no. 6,
pp. 651–663, 2011.
[3] A. Yariv, D. Fekete, and D. M. Pepper, “Compensation for
channel dispersion by nonlinear optical phase conjugation,”
vol. 4, no. 2, pp. 52–54, 1979.
[4] L. Li, Y. Qiao, and Y. Ji, “Optimized optical phase
conjugation conf iguration for f iber nonlinearity
compensation in CO-OFDM systems,” vol. 9, no. 6, pp. 6–10,
2011.
[5] X. Liu, Y. Qiao, and Y. Ji, “Reduction of the fi ber
nonlinearity impairment using optical phase conjugation in 40
Gb / s CO-OFDM systems,” OPTICS, vol. 283, no. 13, pp.
2749–2753, 2010.
[6]] K. Bhowmik, M. Ahamed, and A. Momin, “Reduction of
Dispersion in Optical Fiber Communication by Fiber Bragg
Grating and Optical Phase Conjugation Techniques,” vol. 2,
no. 3, pp. 49–58, 2012.
[7] V. Pusino, I. Cristiani, L. Marazzi, M. Martinelli, and V.
Degiorgio, “Study of the Gordon – Mollenauer Effect and of
the Optical-Phase-Conjugation Compensation Method in
Phase-Modulated Optical Communication Systems of the
Optical-Phase-Conjugation Optical Communication Systems,”
vol. 2, no. 3, 2010.
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 8 105 – 109
_______________________________________________________________________________________________
109
IJRITCC | August 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
[8] K. Solis-Trapala, M. Pelusi, H. N. Tan, T. Inoue, and S.
Namiki, “Optimized WDM Transmission Impairment
Mitigation by Multiple Phase Conjugations,” Journal of
Lightwave Technology, vol. 34, no. 2, pp. 431–440, 2016.
[9] S. S. Dabhade and S. Bhosale, “Fiber Bragg Grating And
Phase Conjugator As Dispersion Compensator,” no. 1, pp. 15–
19, 2012.
[10] P. Shukla and K. P. Kaur, “Comparison of Pre- , Post- , and
Symmetrical Dispersion Compensation Schemes for 40 Gbps
NRZ data at Single & Multiple Channels,” vol. 7109, pp. 101–
105, 2013.
Authors Biography
Aradhana Asiwal, is a PG Student, of
Department of ECE in PEC University of
Technology Chandigarh, India. She completed
her B.Tech in department at SPSU, Udaipur,
Rajasthan, India.
Mrs. Divya Dhawan is currently working as
Asst. Professor in ECE Department of PEC
University of Technology Chandigarh, India. She
has a teaching experience of nearly 18 years. She
is a member of IEEE, ISTE, and IEI. Her
research interests include Optical
Communication, Photonics Systems and Digital
system design.
Photograph
of the
author
Photograph
of the
author

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  • 1. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 8 105 – 109 _______________________________________________________________________________________________ 105 IJRITCC | August 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ Comparative Analysis of Dispersion Compensating Fiber (DCF) and Multiple Optical Phase Conjugation (OPC) modules used for Dispersion Compensation and Nonlinearity Mitigation Aradhana Asiwal PG Student, ECE Department, PEC University of Technology, Chandigarh, India Email: annu.asiwal1991@gmail.com Divya Dhawan Assistant Professor, ECE Department, PEC University of Technology, Chandigarh, India Email: divyadhawan@pec.ac.in Abstract: Optical communication when used for long haul communication is characterized by dispersion and nonlinearities. Different techniques are used for the dispersion compensation and nonlinearity mitigation. Two of these techniques are Dispersion Compensating Fiber (DCF) and Optical Phase Conjugation (OPC). In this paper the performance of the system is analyzed by comparing various results at the receiver. A 10Gb/s NRZ signal is launched into a long Single Mode Fiber (SMF). Results in the terms of Q-factor (linear) and BER are observed by varying fiber length. Optical system consisting of one OPC and two OPC is also analyzed for different transmission distance. Simulation results show that, when compared with optical system consisting of one OPC, Q-factor improvement of 3.51 is achieved for the optical system consisting of two OPC. Nonlinearities are mitigated using DCF and OPC and on comparing with DCF, Q-factor improvement of 11.3 is achieved for OPC. Keyword: Dispersion Compensating Fiber (DCF); Optical Phase Conjugation (OPC); Single Mode Fiber (SMF). __________________________________________________*****_________________________________________________ 1. INTRODUCTION Due to demand of internet in daily life, there is a rapid growth in communication technologies like optical communication which have some promising advantages in terms of bandwidth, input power and losses in the channel over other communication forms. But in optical communication, dispersion and nonlinearities are two major problems faced by systems installed worldwide. The reliability of optical system is affected by broadening of pulse called dispersion which causes Inter-Symbol Interference (ISI) and it limits the length and capacity of the transmission system. Optical system performance degrades by chromatic dispersion (CD) with length of fiber more than 100kms. To compensate dispersion few techniques have been proposed for optical system[1], among them Optical phase conjugation, uses phase conjugated wave to compensate dispersion at the receiver which is innovative over other compensation techniques like DCF and Fiber Bragg Grating (FBG), etc. 2. DISPERSION COMPENSATING TECHNIQUES 2.1 Dispersion Compensating Fiber (DCF) DCF is known to be a good technology for the compensation of dispersion. The positive dispersion of the conventional fiber is reduced by large negative dispersion coefficient of DCF. Proper length of DCF is required which can compensate the dispersion of conventional fiber. Depending on the position of the DCF, Compensation is done by three different methods: A) Pre-Compensation B) Post-Compensation C) Symmetrical-Compensation A DCF must have small insertion loss, low optical nonlinearity, small polarization mode dispersion and it should also have large chromatic dispersion coefficient to decrease the size of DCF. Always a small size of the DCF is better. Net dispersion is reduced to zero if a DCF with negative dispersion is placed after a SMF with positive dispersion. × = - × …….(1) Where D is the dispersion and L is length of each fiber respectively [2]. 2.2 Optical Phase Conjugation (OPC) Optical phase conjugation (OPC), also referred as Mid Span spectral inversion (MSSI), is a promising technology firstly proposed by Yariv et al. in 1979 to mitigate impairments in long-haul communication systems such as Kerr effect and chromatic dispersion [3][4]. OPC is placed at the mid of the fiber link so that the distorted signal after passing through the first fiber span get compensated after passing through OPC [5]. The principle of operation for OPC block is phase inversion according to: Ein(t)= A(t) (2) Eout(t)= ηA(t) (3) Where η is device efficiency, фshift is a extra phase shift. Here фshift is equal to π/2 and η=1 [6]. In this paper, the use of DCF and OPC is proposed to
  • 2. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 8 105 – 109 _______________________________________________________________________________________________ 106 IJRITCC | August 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ compensate the CD and nonlinearities in 100 km long Single Mode Fiber (SMF). Then this length is varied by increasing fiber spans. Simulation results show that, when OPC is compared with DCF, improvement in Q-factor is achieved. 3. SIMULATION SETUP Figures 1, 2 and 3 show the simulation setup of optical communication system. Simulation is carried out using Optsim Software to demonstrate the effect of various dispersion compensation and nonlinearity mitigation techniques and the results are being compared. Simulation setup of an optical communication system is designed in which transmitter consists of a PRBS (Pseudo Random Bit Sequence) generator which transmits data at a bit rate of 10Gbps. PRBS transmit the data to Electrical Signal Generator which uses a NRZ modulation and a voltage signal. A continuous wave (CW) laser with external modulation at a wavelength of 1550nm is used as a source. Laser power used is 0dBm (1mW). Data from Electrical Signal Generator and continuous wave laser is transmitted to Electro absorption Modulator where it gets modulated using Mach Zehnder modulator. The modulated signal is transmitted through a transmission distance of 100 km. Transmission distance consist of single mode fiber (SMF) whose length is 80 km and Dispersion compensation fiber (DCF) whose length is 20 km. Loss in single mode fiber is 0.25dB/km and dispersion slope is 90 S/ and loss in Dispersion compensating fiber is 0.5dB/Km and dispersion slope is -360 S/ . The positive dispersion of SMF is compensated by negative dispersion of DCF. Nonlinearity factor and diameter of SMF and DCF are 2.6 and 8.2 m respectively. Data is transmitted through the fiber and received at the receiver. Before receiver the data is passed through the optical power normalizer whose average output power is -22dBm. Receiver with low pass filter and 1 GHz bandwidth is used followed by a BER tester. Eye diagram analyzer is also used. Property Maps are used to observe the dispersion maps of Pre-, Post- and Symmetrical- DCF. Optical Phase Conjugation (OPC) is also used in place of DCF for dispersion compensation. It is used in the middle of the fiber link as shown in Fig. 4. The length of fiber before and after OPC is same to mitigate the dispersion and nonlinearities more effectively. Figure 1 Simulation setup of an optical communication system consisting of DCF for dispersion compensation Figure 2 Simulation setup of an optical communication system consisting of DCF for nonlinearity mitigation Figure 3 Simulation setup of an optical communication system consisting of two OPC 4. SIMULATION RESULTS AND DISCUSSION The performance of the system is analyzed in terms of Q-factor and BER. Figure 4 shows that Q-factor decreases and BER increases as the transmission reach increases. But using two OPC instead of one OPC is more beneficiary for an optical communication system. Distortion is very less and high Q-factor is achieved [7][8]. For a distance of 100 km, the Q-factor achieved for an optical communication system consisting of two OPC is 21.4 which is almost twice as that of system consisting of one OPC. High Q-factor and low BER i.e., 21.4 and 2.34 are achieved respectively. At 120 km distance, the Q-factor for one OPC and two OPC are 4.12 and 9.06 respectively. Again, at 120 km Q-factor of optical communication system consisting of two OPC is more than twice as that of system consisting of one OPC. BER achieved for an optical communication system consisting of one OPC and two OPC are 1.86 and 6.57 respectively. The BER of an optical communication system consisting of two OPC is very less as compared to an optical communication system consisting of one OPC. For 140 km transmission distance, Q-factor for one OPC and two OPC are 0 and 3.51 respectively and BER values are 1 and 2.22 respectively for one OPC and two OPC.
  • 3. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 8 105 – 109 _______________________________________________________________________________________________ 107 IJRITCC | August 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ (a) (b) Figure 4 Comparison of an optical system consisting of One OPC and Two OPC (a) Q-factor vs. Distance and (b) BER vs. Distance (a) (b) Figure 5 Performance of an optical system using Pre-DCF (a) Q- factor vs. Distance and (b) BER vs. Distance (a) (b) Figure 6 Performance of an optical system using Post-DCF (a) Q- factor vs. Distance and (b) BER vs. Distance (a) (b) Figure 7 Performance of an optical system using Symmetrical-DCF (a) Q-factor vs. Distance and (b) BER vs. Distance Figures 5, 6 and 7 show the Q-factor and BER performance of Pre-, Post-, Symmetrical-Compensation. Maximum nonlinearities are mitigated for 60 km transmission distance.
  • 4. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 8 105 – 109 _______________________________________________________________________________________________ 108 IJRITCC | August 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ As the transmission distance increases, Q-factor decreases and BER increases. For the transmission distance of 60 km, the maximum and minimum value of Q-factor and BER are 17.934 and 3.22 respectively at launch power of -2dBm. Maximum Q-factor and minimum BER for different transmission distance after mitigating nonlinearities using Post- DCF. Maximum nonlinearities are mitigated for 60 km transmission distance. As the transmission distance increases, the Q-factor decreases and BER increases. For the transmission distance of 60 km, the maximum and minimum value of Q- factor and BER are 24.811 and 3.41 respectively at launch power 0dBm which are improved results than Pre-DCF. Maximum Q-factor and minimum BER for different transmission distance after mitigating nonlinearities using symmetrical-DCF. Maximum nonlinearities are mitigated for 60 km transmission distance. The values of Q-factor and BER observed for a transmission distance of 60 km are 25.811 and 3.41 respectively at launch power 0dBm. (a) (b) Figure 8 Comparison of DCF and OPC for 120km transmission distance (a) Q-factor vs. Distance and (b) BER vs. Distance Performance of nonlinearity mitigation techniques i.e., DCF and OPC is observed for a transmission distance of 120 km. Results of nonlinearity mitigation are observed by varying launch power from -10dBm to 4dBm in terms of Q-factor and BER as shown in Figure 8. Nonlinearities are mitigated by using Pre-DCF at a distance of 120 km by varying launch power from -10dBm to 4dBm. The maximum and minimum values of Q-factor and BER are 12.7 and 3.18 respectively at launch power -4dBm. Later on, nonlinearities are mitigated by using Post-DCF at same distance and same power. The maximum and minimum values of Q-factor and BER are 17.2dB and 7.01 respectively at launch power -2dBm. Performance of Post-DCF is improved as compared to Pre- DCF. Now nonlinearities are mitigated using Symmetrical- DCF for the same distance and same power. The maximum and minimum values of Q-factor and BER are 18.4 and 7.01 respectively at launch power -2dBm. Results of Symmetrical-DCF are almost similar to Post-DCF. There is very little increment in Q-factor. Finally, the nonlinearities are mitigated using Optical Phase Conjugation (OPC). The maximum and minimum values of Q-factor and BER are 29.7 and 1.87 respectively at launch power -4dBm. The results of OPC are much improved as compared to DCF. High Q- factor and very small BER is achieved using this technique. The Q-Factor of OPC is better than that of DCF because OPC is implemented in the middle of the transmission link and the effect of dispersion is equalized [9][10]. 5. CONCLUSION Though DCF is a good technique for dispersion compensation but because of certain disadvantages like high insertion loss, bulkiness, limited input power, presence of residual dispersion, high order derivatives, high attenuation, low negative dispersion, etc., OPC is more suitable and reliable for the compensation. When OPC is used results in terms of Q- factor and BER are improved to a greater extent. Many studies are accepted in this perspective to reduce the effect of Dispersion to large extent by introducing new system design. REFERENCES [1] E. Torrengo et al., “Influence of Pulse Shape in 112-Gb / s WDM PDM-QPSK Transmission,” vol. 22, no. 23, pp. 1714– 1716, 2010. [2] D. Dhawan and N. Gupta, “OPTIMIZATION OF FIBER BASED DISPERSION COMPENSATION IN RZ AND NRZ DATA MODULATION FORMATS Abbreviations 2 . Dispersion Compensation Schemes Employed,” vol. 6, no. 6, pp. 651–663, 2011. [3] A. Yariv, D. Fekete, and D. M. Pepper, “Compensation for channel dispersion by nonlinear optical phase conjugation,” vol. 4, no. 2, pp. 52–54, 1979. [4] L. Li, Y. Qiao, and Y. Ji, “Optimized optical phase conjugation conf iguration for f iber nonlinearity compensation in CO-OFDM systems,” vol. 9, no. 6, pp. 6–10, 2011. [5] X. Liu, Y. Qiao, and Y. Ji, “Reduction of the fi ber nonlinearity impairment using optical phase conjugation in 40 Gb / s CO-OFDM systems,” OPTICS, vol. 283, no. 13, pp. 2749–2753, 2010. [6]] K. Bhowmik, M. Ahamed, and A. Momin, “Reduction of Dispersion in Optical Fiber Communication by Fiber Bragg Grating and Optical Phase Conjugation Techniques,” vol. 2, no. 3, pp. 49–58, 2012. [7] V. Pusino, I. Cristiani, L. Marazzi, M. Martinelli, and V. Degiorgio, “Study of the Gordon – Mollenauer Effect and of the Optical-Phase-Conjugation Compensation Method in Phase-Modulated Optical Communication Systems of the Optical-Phase-Conjugation Optical Communication Systems,” vol. 2, no. 3, 2010.
  • 5. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 8 105 – 109 _______________________________________________________________________________________________ 109 IJRITCC | August 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ [8] K. Solis-Trapala, M. Pelusi, H. N. Tan, T. Inoue, and S. Namiki, “Optimized WDM Transmission Impairment Mitigation by Multiple Phase Conjugations,” Journal of Lightwave Technology, vol. 34, no. 2, pp. 431–440, 2016. [9] S. S. Dabhade and S. Bhosale, “Fiber Bragg Grating And Phase Conjugator As Dispersion Compensator,” no. 1, pp. 15– 19, 2012. [10] P. Shukla and K. P. Kaur, “Comparison of Pre- , Post- , and Symmetrical Dispersion Compensation Schemes for 40 Gbps NRZ data at Single & Multiple Channels,” vol. 7109, pp. 101– 105, 2013. Authors Biography Aradhana Asiwal, is a PG Student, of Department of ECE in PEC University of Technology Chandigarh, India. She completed her B.Tech in department at SPSU, Udaipur, Rajasthan, India. Mrs. Divya Dhawan is currently working as Asst. Professor in ECE Department of PEC University of Technology Chandigarh, India. She has a teaching experience of nearly 18 years. She is a member of IEEE, ISTE, and IEI. Her research interests include Optical Communication, Photonics Systems and Digital system design. Photograph of the author Photograph of the author