SlideShare a Scribd company logo
1 of 7
Download to read offline
ISSN (ONLINE): 2395-695X
ISSN (PRINT): 2395-695X
International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST)
Vol. 2, Issue 12, December 2016
C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS
A New Bit Split and Interleaved Channel Coding for
MIMO Decoder
C. Amar Singh Feroz1
, S. Karthikeyan2
, K. Mala3
Assistant professor, Francis Xavier Engineering College, Tirunelveli 1
Associate Professor Francis Xavier Engineering College, Tirunelveli 2
PG Scholar Francis Xavier Engineering College, Tirunelveli 3
Abstract– In wireless communications, the use of multiple antennas at both the
transmitter and receiver is a key technology to enable high data transmission without
additional bandwidth or transmit power. MIMO schemes are widely used in many
wireless standards, allowing higher throughput using spatial multiplexing techniques.
Bit split mapping based on JDD is designed. Here ETI coding is used for encoding and
Viterbi is used for decoding. Experimental results for 16-QAM and 64 QAM with the
code rate of ½ and 1/3 codes are shown to verify the proposed approach and to elucidate
the design tradeoffs in terms the BER performance. This bit split mapping based JDD
algorithm can greatly improve BER performance with different system settings.
Index Terms—Multiple Input Multiple Output (MIMO), Embedded Transition
Inversion (ETI), Joint Detection and Decoding (JDD), Quadrature Amplitude
Modulation (QAM).
I. INTRODUCTION
Wireless communication is the transmission of information or power between two or
more points [1], [5] that are not connected by an electrical conductor. The primary usage of
wireless communication technologies are LTE, LTE- advanced, Wi-Fi and Bluetooth.
Wireless operations allows services such as long-range communications that are impossible
to implement with the use of wires. In wireless communication an information is transferred
into short and long distances. Wireless communication using Multiple-Input Multiple Output
(MIMO) systems provides increased spectral efficiency [3] for a given total transmit power.
This wireless networking technology greatly improves the range and capacity of a wireless
communication system. In wireless communication MIMO system refers to the use of more
than one antenna at both sides of transmission.
A key feature of MIMO systems is the ability to turn multipath propagation. This paper
discusses the recent advance technologies from theory to practical issues. From the
mathematical point of view [6], the MIMO communication is performed through a matrix and
not just a vector channel, so it is possible to transmit multiple parallel signal streams
simultaneously in the same frequency band. This will increase the spectral efficiency and that
technique [3]-[7] is called as spatial multiplexing. Spatial multiplexing involves modulation
and demodulation process.
Different from the repetitive scheme, a no repetitive method is proposed and the approach
illustrated in [1] focused on linear block codes. However, a compromise between diversity
and multiplexing has to be made since it is not possible to exploit both maximum diversity
gain and maximum multiplexing gain at the same time. Ideally, adaptive system would adapt
the exploitation of multiple antennas to current conditions and thus simultaneously increase
41
ISSN (ONLINE): 2395-695X
ISSN (PRINT): 2395-695X
International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST)
Vol. 2, Issue 12, December 2016
C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS
both the throughput and the reliability of communication system. This paper presents an
algorithm called Embedded Transition Inversion (ETI) of a reconfigurable JDD scheme that
shows the MIMO detection and decoding of Viterbi codes currently. Most importantly, the
proposed system design is highly improving BER such that it can be configured to operate
with different combination of encoder code rates and QAM modulation techniques. The most
commonly used modulation schemes in traditional wireless systems [1]-[3], [6], [10].
Compared with the previous CJDD method exploits in [1], this design can be applied to a
generalized domain of MIMO communications and can be practically employed to the real
world applications. In short, main contributions of this paper can be considered as follows.
1) The reconfigurable JDD algorithm is presented. This algorithm conducts the MIMO
detection and decoding of Viterbi codes concurrently, and can be configured to
operate with QAM modulation schemes and encoder code rates.
2) The proposed system approaches Embedded Transition Inversion scheme. In
particular, shifting properties can be implemented to achieve high BER performance.
3) Experimental results for 16-QAM and 64-QAM with rate ½ and rate 1/3 codes are
shown to verify the proposed approach gives the BER performance, complexity,
power consumption.
This paper is organized as follows. A review of the system setup and CJDD approach is
presented in section II. The proposed reconfigurable ETI algorithm result is presented in
section III. ETI implementation results and BER analysis are given in section IV. Finally,
this paper is concluded in section V.
Review of Configurable Joint Detection and Decoding Algorithm
An important idea of CJDD algorithm [1] lies in an innovative tree enumeration scheme.
The system settings that might change the tree-searching behavior and explicitly define the
control parameters that are used to configure the performance of the algorithm. The CJDD
processor that can perform the MIMO detection and decoding of convolutional codes
simultaneously were designed and implemented.
This design comprised of three major elements, VSF, Path Metric Computer and Sorter.
Furthermore a number of registers are also used for storing intermediate results. Considering
the fact that multiple paths with multiple tree level could be computed, and each computation
is involved with a number of arithmetic operations, PMC becomes the primary bottleneck of
the design. Moreover, since the most prominent feature of CJDD design is to be configurable
to support different system settings, multiple stages of states could be traversed before
proceeding. Even though path metric computer provides required path coverage through
testing many paths are impossible to exercise due to relationship of data. Approximately a
3dB improvement is achieved for the 16 QAM and more than 3dB is achieved for the 64
QAM structure. However it is important to notice that such non iterative scheme also incurs a
non-affordable complexity and a huge processing delay.
42
ISSN (ONLINE): 2395-695X
ISSN (PRINT): 2395-695X
International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST)
Vol. 2, Issue 12, December 2016
C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS
Input data Shift Register
Comparator Controller
Odd Counter
Even Counter
Encoded Output
II.SYSTEM MODEL
An existing system of a CJDD scheme for MIMO wireless communication systems
with convolutional codes can be modified as ETI scheme for MIMO with Viterbi codes. In an
existing system provides a complex trace back unit in decoder that reduces efficiency and
throughput. In order to overcome this, Bit split mapping based on JDD is designed. Here
Embedded Transition Inversion coding is used for encoding and Viterbi code is used for
decoding.
Fig 1. Embedded Transition Inversion Encoding
A technique of converting high bit depth and / or high sample rate digital audio
signals to a form that can be recorded at lower bit depth and sample rates. A device that
can do bit splitting will break the high resolution audio into several tracks of lower
resolution data for recording. Error coding is a method of detecting and correcting errors
to ensure information is transferred from its source to its destination. The decoder uses
two metrics the branch metric and the path metric. The key insight in Viterbi algorithm is
that the receiver can compute the path metric for a (state, time) pair incrementally using
the path metrics of previously computed states and branch metrics.
A general technique called bit splitting gives us a way to do that. The idea is straight
forward: the encoder does not send every parity bit produced in each stream, but “splitter”
the stream sending only a subset of the bits that are agreed-upon between encoder and
decoder. This technique gives the BER performance up to 5 dB .The reason for the
superior performance of the codes is that they have the greater space distance. The greater
space distance allows for a large number of closely spaced errors to be corrected.
Bit error rate testing is a powerful methodology for end to end testing of digital
transmission systems.
43
ISSN (ONLINE): 2395-695X
ISSN (PRINT): 2395-695X
International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST)
Vol. 2, Issue 12, December 2016
C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS
III. RESULTS AND DISCUSSION
Fig 2. Signal Generation
Figure 2 shows the generation of an analog signal using matlab coding. Signal is
important for transmitting the data. It is the basic step in the wireless data transmission.
Analog signals are continuously varing signals with the response of time and amplitude.
Fig 3. Binary Conversion of an Analog Signal.
Figure 3 shows that the binary conversion of signal. Wireless communication need the digital
data for transmitting the information for better communication. The binary digits are
representing the values of data to be transmitted from the encoder side from the source.
44
ISSN (ONLINE): 2395-695X
ISSN (PRINT): 2395-695X
International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST)
Vol. 2, Issue 12, December 2016
C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS
Fig 4. Signal generation of ½ rate encoder
Figure 4 shows the values of ½ encoder. The encoding signals are generated based on the
clock, reset values. The clock signal is used for synchronizing the encoding. Reset values
clear the past responses.
Fig 5. Encoded output
Figure 5 shows the encoded output. The error signal is transmitted in the input side. By using
the MIMO decoder the correct encoding signals are generated. ETI plays an important role to
produce the encoded data.
45
ISSN (ONLINE): 2395-695X
ISSN (PRINT): 2395-695X
International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST)
Vol. 2, Issue 12, December 2016
C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS
Fig 6. Bit Error Performance Analysis
Figure 6 shows the decoded output wave from generator for different code rate with QAM.
The bit error improvement is analyzed by different code rate of the signals. Final results gives
the decoded waveform of QAM using MIMO decoder.
IV. CONCLUSION AND FUTURE WORK
This paper presents an algorithm and the VLSI architecture of the CJDD approach for
the MIMO wireless communication systems. A formal outline of algorithm is given and
simulation results are presented showing that the proposed CJDD algorithm can
greatly improve the BER performance with different system settings. In addition, the
VLSI architecture and an implementation of the proposed CJDD processor are
illustrated, and the optimization techniques to improve the design efficiency are
introduced. The post synthesized experimental results show that this design can
achieve a reduced system complexity compared with the conventional separate
scheme with configurability.
As power densities continue to rise, interleaved boost designs become a powerful tool
to keep input currents manageable and increase efficiency, while still maintaining good
power density. With mandates on energy savings more common, interleaved construction
may be the only way to achieve design objectives. The benefits of this approach are
demonstrated by a two-phase boost converter design built around the LM5032 pulse-width
modulation (PWM) controller.
REFERENCES
[1] D. Gesbert, M. Shafi, D.-S. Shiu, P. J. Smith, and A. Naguib, “From theory to practice: An overview of
MIMO space–time coded wireless systems,” IEEE J. Sel. Areas Commun., vol. 21, no. 3, pp. 281–302,
Apr. 2003.
[2] B. M. Hochwald and S. ten Brink, “Achieving near-capacity on a multiple- antenna channel,” IEEE
Trans.Commun., vol. 51, no. 3,pp. 389–399, Mar. 2003.
46
ISSN (ONLINE): 2395-695X
ISSN (PRINT): 2395-695X
International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST)
Vol. 2, Issue 12, December 2016
C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS
[3] A.D.Murugan, H. El Gamal, M. O. Damen, and G. Caire, “A unified framework for tree Search
decoding: Re discovering the sequential decoder,” IEEE Trans. Inf. Theory, vol. 52, no. 3, pp. 933–
953, Mar.2006.
[4] F. Sun and T. Zhang, “Low-power state-parallel relaxed adaptive Viterbi decoder,” IEEE Trans.
Circuits Syst. I, Reg. Papers, vol. 54, no. 5, pp. 1060–1068, May 2007.
[5] J. Ketonen, M. Juntti, and J. R. Cavallaro, “Performance—Complexity comparison of receivers for a
LTE MIMO–OFDM system,” IEEE Trans. Signal Process., vol. 58, no. 6, pp. 3360–3372, Jun. 2010.
[6] C. Studer, A. Burg, and H. Bolcskei, “Soft-output sphere decoding: Algorithms and VLSI
implementation,” IEEE J. Sel. Areas Commun., vol. 26, no. 2, pp. 290–300, Feb. 2008.
[7] M. Mahdavi and M. Shabany, “Novel MIMO detection algorithm for high-order constellations in the
complex domain,” IEEE Trans.Very Large Scale Integr.(VLSI) Syst., vol. 21, no. 5, pp. 834–847, May
2013.
[8] L. Boher, R. Rabineau, and M. Helard, “FPGA implementation of an iterative receiver for MIMO–
OFDM systems,” IEEE J. Sel. Areas Commun., vol. 26, no. 6, pp. 857–866, Aug. 2008.
[9] H. Vikalo and B. Hassibi, “On joint detection and decoding of linear block codes on Gaussian vector
channels,” IEEE Trans. Signal Process., vol. 54, no. 9, pp. 3330–3342, Sep. 2006.
[10]C. P. Sukumar, C.-A. Shen, and A. M. Eltawil, “Joint detection and decoding for MIMO systems using
Convolutional codes: Algorithm and VLSI architecture,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol.
59, no.9, pp. 1919–1931, Sep. 2012.
[11]J. He, H. Liu, Z. Wang, X. Huang, and K. Zhang, “High-speed low power Viterbi decoder design for
TCM decoders,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 20, no. 4, pp. 755–759, Apr.
2012.
[12]E. Dahlman, S. Parkvall, and J. Skold, 4G: LTE/LTE-Advanced for Mobile Broadband. New York,
NY, USA: Academic, 2011.
[13]S. Lin and D. J. Costello, Jr., Error Control Coding, 2nd ed. Englewood Cliffs, NJ, USA: Prentice-Hall,
2004.
[14]D. Patel, V. Smolyakov, M. Shabany, and P. G. Guluk, “VLSI implementation of a WiMAX/LTE
compliant low-complexity high throughput soft-output K-Best MIMO detector,” in Proc. IEEE Int.
Symp. Circuits Syst. (ISCAS), May/Jun. 2010, pp. 593–596.
[15]L. Bahl, J. Cocke, F. Jelinek, and J. Raviv, “Optimal decoding of linear codes for minimizing symbol
error rate (Corresp.),” IEEE Trans. Inf. Theory, vol. IT-20, no. 2, pp. 284–287, Mar. 1974.
47

More Related Content

What's hot

Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Bindia Kumari
 
Error Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading ChannelsError Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading ChannelsIOSR Journals
 
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ijngnjournal
 
Performance Enhancement of MIMO-OFDM using Redundant Residue Number System
Performance Enhancement of MIMO-OFDM using Redundant Residue Number System Performance Enhancement of MIMO-OFDM using Redundant Residue Number System
Performance Enhancement of MIMO-OFDM using Redundant Residue Number System IJECEIAES
 
Iterative network channel decoding with cooperative space-time transmission
Iterative network channel decoding with cooperative space-time transmissionIterative network channel decoding with cooperative space-time transmission
Iterative network channel decoding with cooperative space-time transmissionijasuc
 
IJSRED-V2I3P51
IJSRED-V2I3P51IJSRED-V2I3P51
IJSRED-V2I3P51IJSRED
 
Hardware Architecture of Complex K-best MIMO Decoder
Hardware Architecture of Complex K-best MIMO DecoderHardware Architecture of Complex K-best MIMO Decoder
Hardware Architecture of Complex K-best MIMO DecoderCSCJournals
 
Research on pilot based channel estimation for lte downlink
Research on pilot based channel estimation for lte downlinkResearch on pilot based channel estimation for lte downlink
Research on pilot based channel estimation for lte downlinkIAEME Publication
 
MULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHY
MULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHYMULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHY
MULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHYVLSICS Design
 
SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...
SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...
SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...cscpconf
 
Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...
Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...
Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...csandit
 
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...IJREST
 
Performance evaluation of VLC system using new modulation approach
Performance evaluation of VLC system using new modulation approachPerformance evaluation of VLC system using new modulation approach
Performance evaluation of VLC system using new modulation approachjournalBEEI
 
VLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systemsVLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systemsIJERA Editor
 
Ijetae 0913 79
Ijetae 0913 79Ijetae 0913 79
Ijetae 0913 79Usman Ali
 

What's hot (20)

paper1
paper1paper1
paper1
 
Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)Comparative study of_digital_modulation (1)
Comparative study of_digital_modulation (1)
 
Error Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading ChannelsError Control and performance Analysis of MIMO-OFDM Over Fading Channels
Error Control and performance Analysis of MIMO-OFDM Over Fading Channels
 
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
ESTIMATION AND COMPENSATION OF INTER CARRIER INTERFERENCE IN WIMAX PHYSICAL L...
 
Co35503507
Co35503507Co35503507
Co35503507
 
Performance Enhancement of MIMO-OFDM using Redundant Residue Number System
Performance Enhancement of MIMO-OFDM using Redundant Residue Number System Performance Enhancement of MIMO-OFDM using Redundant Residue Number System
Performance Enhancement of MIMO-OFDM using Redundant Residue Number System
 
50120140503006 2-3
50120140503006 2-350120140503006 2-3
50120140503006 2-3
 
Iterative network channel decoding with cooperative space-time transmission
Iterative network channel decoding with cooperative space-time transmissionIterative network channel decoding with cooperative space-time transmission
Iterative network channel decoding with cooperative space-time transmission
 
40120130405008
4012013040500840120130405008
40120130405008
 
50120140503006
5012014050300650120140503006
50120140503006
 
IJSRED-V2I3P51
IJSRED-V2I3P51IJSRED-V2I3P51
IJSRED-V2I3P51
 
Hardware Architecture of Complex K-best MIMO Decoder
Hardware Architecture of Complex K-best MIMO DecoderHardware Architecture of Complex K-best MIMO Decoder
Hardware Architecture of Complex K-best MIMO Decoder
 
Research on pilot based channel estimation for lte downlink
Research on pilot based channel estimation for lte downlinkResearch on pilot based channel estimation for lte downlink
Research on pilot based channel estimation for lte downlink
 
MULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHY
MULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHYMULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHY
MULTI USER DETECTOR IN CDMA USING ELLIPTIC CURVE CRYPTOGRAPHY
 
SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...
SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...
SECURED TEXT MESSAGE TRANSMISSION WITH IMPLEMENTATION OF CONCATENATED CFB CRY...
 
Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...
Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...
Implementation of Joint Network Channel Decoding Algorithm for Multiple Acces...
 
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...
Analysis of Microstrip Finger on Bandwidth of Interdigital Band Pass Filter u...
 
Performance evaluation of VLC system using new modulation approach
Performance evaluation of VLC system using new modulation approachPerformance evaluation of VLC system using new modulation approach
Performance evaluation of VLC system using new modulation approach
 
VLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systemsVLSI Implementation of OFDM Transceiver for 802.11n systems
VLSI Implementation of OFDM Transceiver for 802.11n systems
 
Ijetae 0913 79
Ijetae 0913 79Ijetae 0913 79
Ijetae 0913 79
 

Similar to A New Bit Split and Interleaved Channel Coding for MIMO Decoder

Implementation of a bit error rate tester of a wireless communication system ...
Implementation of a bit error rate tester of a wireless communication system ...Implementation of a bit error rate tester of a wireless communication system ...
Implementation of a bit error rate tester of a wireless communication system ...eSAT Publishing House
 
Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...
Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...
Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...ijcnac
 
Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...
Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...
Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...IRJET Journal
 
IRJET-BER Improvement in OFDM-IM using TCM
IRJET-BER Improvement in OFDM-IM using TCMIRJET-BER Improvement in OFDM-IM using TCM
IRJET-BER Improvement in OFDM-IM using TCMIRJET Journal
 
Performance analysis of ml and mmse decoding using
Performance analysis of ml and mmse decoding usingPerformance analysis of ml and mmse decoding using
Performance analysis of ml and mmse decoding usingeSAT Publishing House
 
A performance enhancement of physical layer at Wi-MAX system with RLDPC code
A performance enhancement of physical layer at Wi-MAX  system with RLDPC codeA performance enhancement of physical layer at Wi-MAX  system with RLDPC code
A performance enhancement of physical layer at Wi-MAX system with RLDPC codenooriasukmaningtyas
 
Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...
Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...
Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...IJERA Editor
 
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...Cemal Ardil
 
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESCODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESijmnct
 
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESCODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESijmnct_journal
 
DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...
DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...
DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...cscpconf
 
Dynamic optimization of overlap
Dynamic optimization of overlapDynamic optimization of overlap
Dynamic optimization of overlapcsandit
 
Performance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerPerformance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerIOSR Journals
 
Performance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerPerformance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerIOSR Journals
 
Performance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerPerformance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerIOSR Journals
 
The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...
The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...
The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...TELKOMNIKA JOURNAL
 

Similar to A New Bit Split and Interleaved Channel Coding for MIMO Decoder (20)

Implementation of a bit error rate tester of a wireless communication system ...
Implementation of a bit error rate tester of a wireless communication system ...Implementation of a bit error rate tester of a wireless communication system ...
Implementation of a bit error rate tester of a wireless communication system ...
 
Ff34970973
Ff34970973Ff34970973
Ff34970973
 
Turbo encoder and decoder chip design and FPGA device analysis for communicat...
Turbo encoder and decoder chip design and FPGA device analysis for communicat...Turbo encoder and decoder chip design and FPGA device analysis for communicat...
Turbo encoder and decoder chip design and FPGA device analysis for communicat...
 
Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...
Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...
Coverage of WCDMA Network Using Different Modulation Techniques with Soft and...
 
Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...
Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...
Evaluation and Design an Efficient Mobile WiMax Architecture Using Coded OFDM...
 
IRJET-BER Improvement in OFDM-IM using TCM
IRJET-BER Improvement in OFDM-IM using TCMIRJET-BER Improvement in OFDM-IM using TCM
IRJET-BER Improvement in OFDM-IM using TCM
 
N010328691
N010328691N010328691
N010328691
 
Performance analysis of ml and mmse decoding using
Performance analysis of ml and mmse decoding usingPerformance analysis of ml and mmse decoding using
Performance analysis of ml and mmse decoding using
 
A performance enhancement of physical layer at Wi-MAX system with RLDPC code
A performance enhancement of physical layer at Wi-MAX  system with RLDPC codeA performance enhancement of physical layer at Wi-MAX  system with RLDPC code
A performance enhancement of physical layer at Wi-MAX system with RLDPC code
 
Efficient stbc for the data rate of mimo ofdma
Efficient stbc for the data rate of mimo ofdmaEfficient stbc for the data rate of mimo ofdma
Efficient stbc for the data rate of mimo ofdma
 
Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...
Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...
Performance Analysis of Multi-QoS Model of OCDMA System by Adopting OPPM Sign...
 
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...
An investigation-on-efficient-spreading-codes-for-transmitter-based-technique...
 
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESCODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
 
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESCODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICES
 
DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...
DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...
DYNAMIC OPTIMIZATION OF OVERLAPAND- ADD LENGTH OVER MBOFDM SYSTEM BASED ON SN...
 
Dynamic optimization of overlap
Dynamic optimization of overlapDynamic optimization of overlap
Dynamic optimization of overlap
 
Performance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerPerformance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical Layer
 
Performance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerPerformance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical Layer
 
Performance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical LayerPerformance Improvement of IEEE 802.22 WRAN Physical Layer
Performance Improvement of IEEE 802.22 WRAN Physical Layer
 
The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...
The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...
The efficient interleaving of digital-video-broadcasting-satellite 2nd genera...
 

More from IJARBEST JOURNAL

Segmentation and Automatic Counting of Red Blood Cells Using Hough Transform
Segmentation and Automatic Counting of Red Blood Cells Using Hough TransformSegmentation and Automatic Counting of Red Blood Cells Using Hough Transform
Segmentation and Automatic Counting of Red Blood Cells Using Hough TransformIJARBEST JOURNAL
 
Performance Analysis of PAPR Reduction in MIMO-OFDM
Performance Analysis of PAPR Reduction in MIMO-OFDMPerformance Analysis of PAPR Reduction in MIMO-OFDM
Performance Analysis of PAPR Reduction in MIMO-OFDMIJARBEST JOURNAL
 
High Speed and Low Power ASIC Using Threshold Logic
High Speed and Low Power ASIC Using Threshold LogicHigh Speed and Low Power ASIC Using Threshold Logic
High Speed and Low Power ASIC Using Threshold LogicIJARBEST JOURNAL
 
Multipath routing protocol for effective local route recovery
Multipath routing protocol for effective local route recoveryMultipath routing protocol for effective local route recovery
Multipath routing protocol for effective local route recoveryIJARBEST JOURNAL
 
Simulation of an adaptive digital beamformer using matlab
Simulation of an adaptive digital beamformer using matlabSimulation of an adaptive digital beamformer using matlab
Simulation of an adaptive digital beamformer using matlabIJARBEST JOURNAL
 
Quantification of rate of air pollution by means of
Quantification of rate of air pollution by means ofQuantification of rate of air pollution by means of
Quantification of rate of air pollution by means ofIJARBEST JOURNAL
 
Simulation and Implementation of Electric Bicycle employing BLDC Drive
Simulation and Implementation of Electric Bicycle employing BLDC DriveSimulation and Implementation of Electric Bicycle employing BLDC Drive
Simulation and Implementation of Electric Bicycle employing BLDC DriveIJARBEST JOURNAL
 
Review of Integrated Power Factor Correction (PFC) Boost converter topologies...
Review of Integrated Power Factor Correction (PFC) Boost converter topologies...Review of Integrated Power Factor Correction (PFC) Boost converter topologies...
Review of Integrated Power Factor Correction (PFC) Boost converter topologies...IJARBEST JOURNAL
 
Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...
Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...
Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...IJARBEST JOURNAL
 
A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...
A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...
A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...IJARBEST JOURNAL
 
Fermentation Process for Manufacturing of Wine from Emblica officinalis fruits
Fermentation Process for Manufacturing of Wine from Emblica officinalis fruitsFermentation Process for Manufacturing of Wine from Emblica officinalis fruits
Fermentation Process for Manufacturing of Wine from Emblica officinalis fruitsIJARBEST JOURNAL
 

More from IJARBEST JOURNAL (20)

Segmentation and Automatic Counting of Red Blood Cells Using Hough Transform
Segmentation and Automatic Counting of Red Blood Cells Using Hough TransformSegmentation and Automatic Counting of Red Blood Cells Using Hough Transform
Segmentation and Automatic Counting of Red Blood Cells Using Hough Transform
 
Performance Analysis of PAPR Reduction in MIMO-OFDM
Performance Analysis of PAPR Reduction in MIMO-OFDMPerformance Analysis of PAPR Reduction in MIMO-OFDM
Performance Analysis of PAPR Reduction in MIMO-OFDM
 
High Speed and Low Power ASIC Using Threshold Logic
High Speed and Low Power ASIC Using Threshold LogicHigh Speed and Low Power ASIC Using Threshold Logic
High Speed and Low Power ASIC Using Threshold Logic
 
Multipath routing protocol for effective local route recovery
Multipath routing protocol for effective local route recoveryMultipath routing protocol for effective local route recovery
Multipath routing protocol for effective local route recovery
 
Simulation of an adaptive digital beamformer using matlab
Simulation of an adaptive digital beamformer using matlabSimulation of an adaptive digital beamformer using matlab
Simulation of an adaptive digital beamformer using matlab
 
Quantification of rate of air pollution by means of
Quantification of rate of air pollution by means ofQuantification of rate of air pollution by means of
Quantification of rate of air pollution by means of
 
Simulation and Implementation of Electric Bicycle employing BLDC Drive
Simulation and Implementation of Electric Bicycle employing BLDC DriveSimulation and Implementation of Electric Bicycle employing BLDC Drive
Simulation and Implementation of Electric Bicycle employing BLDC Drive
 
Review of Integrated Power Factor Correction (PFC) Boost converter topologies...
Review of Integrated Power Factor Correction (PFC) Boost converter topologies...Review of Integrated Power Factor Correction (PFC) Boost converter topologies...
Review of Integrated Power Factor Correction (PFC) Boost converter topologies...
 
Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...
Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...
Analysis of Modulation Strategies for Two-Stage Interleaved Voltage Source In...
 
A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...
A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...
A SURVEY ON QUESTION AND ANSWER SYSTEM BY RETRIEVING THE DESCRIPTIONS USING L...
 
Fermentation Process for Manufacturing of Wine from Emblica officinalis fruits
Fermentation Process for Manufacturing of Wine from Emblica officinalis fruitsFermentation Process for Manufacturing of Wine from Emblica officinalis fruits
Fermentation Process for Manufacturing of Wine from Emblica officinalis fruits
 
V01 i030602
V01 i030602V01 i030602
V01 i030602
 
V01 i010415
V01 i010415V01 i010415
V01 i010415
 
V01 i010414
V01 i010414V01 i010414
V01 i010414
 
V01 i010413
V01 i010413V01 i010413
V01 i010413
 
V01 i010412
V01 i010412V01 i010412
V01 i010412
 
V01 i010411
V01 i010411V01 i010411
V01 i010411
 
V01 i010410
V01 i010410V01 i010410
V01 i010410
 
V01 i010409
V01 i010409V01 i010409
V01 i010409
 
V01 i010408
V01 i010408V01 i010408
V01 i010408
 

Recently uploaded

Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)Dr SOUNDIRARAJ N
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
An introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxAn introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxPurva Nikam
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile servicerehmti665
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxDeepakSakkari2
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 

Recently uploaded (20)

9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
UNIT III ANALOG ELECTRONICS (BASIC ELECTRONICS)
 
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdfDesign and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
 
young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
An introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptxAn introduction to Semiconductor and its types.pptx
An introduction to Semiconductor and its types.pptx
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile serviceCall Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Biology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptxBiology for Computer Engineers Course Handout.pptx
Biology for Computer Engineers Course Handout.pptx
 
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
🔝9953056974🔝!!-YOUNG call girls in Rajendra Nagar Escort rvice Shot 2000 nigh...
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 

A New Bit Split and Interleaved Channel Coding for MIMO Decoder

  • 1. ISSN (ONLINE): 2395-695X ISSN (PRINT): 2395-695X International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST) Vol. 2, Issue 12, December 2016 C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS A New Bit Split and Interleaved Channel Coding for MIMO Decoder C. Amar Singh Feroz1 , S. Karthikeyan2 , K. Mala3 Assistant professor, Francis Xavier Engineering College, Tirunelveli 1 Associate Professor Francis Xavier Engineering College, Tirunelveli 2 PG Scholar Francis Xavier Engineering College, Tirunelveli 3 Abstract– In wireless communications, the use of multiple antennas at both the transmitter and receiver is a key technology to enable high data transmission without additional bandwidth or transmit power. MIMO schemes are widely used in many wireless standards, allowing higher throughput using spatial multiplexing techniques. Bit split mapping based on JDD is designed. Here ETI coding is used for encoding and Viterbi is used for decoding. Experimental results for 16-QAM and 64 QAM with the code rate of ½ and 1/3 codes are shown to verify the proposed approach and to elucidate the design tradeoffs in terms the BER performance. This bit split mapping based JDD algorithm can greatly improve BER performance with different system settings. Index Terms—Multiple Input Multiple Output (MIMO), Embedded Transition Inversion (ETI), Joint Detection and Decoding (JDD), Quadrature Amplitude Modulation (QAM). I. INTRODUCTION Wireless communication is the transmission of information or power between two or more points [1], [5] that are not connected by an electrical conductor. The primary usage of wireless communication technologies are LTE, LTE- advanced, Wi-Fi and Bluetooth. Wireless operations allows services such as long-range communications that are impossible to implement with the use of wires. In wireless communication an information is transferred into short and long distances. Wireless communication using Multiple-Input Multiple Output (MIMO) systems provides increased spectral efficiency [3] for a given total transmit power. This wireless networking technology greatly improves the range and capacity of a wireless communication system. In wireless communication MIMO system refers to the use of more than one antenna at both sides of transmission. A key feature of MIMO systems is the ability to turn multipath propagation. This paper discusses the recent advance technologies from theory to practical issues. From the mathematical point of view [6], the MIMO communication is performed through a matrix and not just a vector channel, so it is possible to transmit multiple parallel signal streams simultaneously in the same frequency band. This will increase the spectral efficiency and that technique [3]-[7] is called as spatial multiplexing. Spatial multiplexing involves modulation and demodulation process. Different from the repetitive scheme, a no repetitive method is proposed and the approach illustrated in [1] focused on linear block codes. However, a compromise between diversity and multiplexing has to be made since it is not possible to exploit both maximum diversity gain and maximum multiplexing gain at the same time. Ideally, adaptive system would adapt the exploitation of multiple antennas to current conditions and thus simultaneously increase 41
  • 2. ISSN (ONLINE): 2395-695X ISSN (PRINT): 2395-695X International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST) Vol. 2, Issue 12, December 2016 C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS both the throughput and the reliability of communication system. This paper presents an algorithm called Embedded Transition Inversion (ETI) of a reconfigurable JDD scheme that shows the MIMO detection and decoding of Viterbi codes currently. Most importantly, the proposed system design is highly improving BER such that it can be configured to operate with different combination of encoder code rates and QAM modulation techniques. The most commonly used modulation schemes in traditional wireless systems [1]-[3], [6], [10]. Compared with the previous CJDD method exploits in [1], this design can be applied to a generalized domain of MIMO communications and can be practically employed to the real world applications. In short, main contributions of this paper can be considered as follows. 1) The reconfigurable JDD algorithm is presented. This algorithm conducts the MIMO detection and decoding of Viterbi codes concurrently, and can be configured to operate with QAM modulation schemes and encoder code rates. 2) The proposed system approaches Embedded Transition Inversion scheme. In particular, shifting properties can be implemented to achieve high BER performance. 3) Experimental results for 16-QAM and 64-QAM with rate ½ and rate 1/3 codes are shown to verify the proposed approach gives the BER performance, complexity, power consumption. This paper is organized as follows. A review of the system setup and CJDD approach is presented in section II. The proposed reconfigurable ETI algorithm result is presented in section III. ETI implementation results and BER analysis are given in section IV. Finally, this paper is concluded in section V. Review of Configurable Joint Detection and Decoding Algorithm An important idea of CJDD algorithm [1] lies in an innovative tree enumeration scheme. The system settings that might change the tree-searching behavior and explicitly define the control parameters that are used to configure the performance of the algorithm. The CJDD processor that can perform the MIMO detection and decoding of convolutional codes simultaneously were designed and implemented. This design comprised of three major elements, VSF, Path Metric Computer and Sorter. Furthermore a number of registers are also used for storing intermediate results. Considering the fact that multiple paths with multiple tree level could be computed, and each computation is involved with a number of arithmetic operations, PMC becomes the primary bottleneck of the design. Moreover, since the most prominent feature of CJDD design is to be configurable to support different system settings, multiple stages of states could be traversed before proceeding. Even though path metric computer provides required path coverage through testing many paths are impossible to exercise due to relationship of data. Approximately a 3dB improvement is achieved for the 16 QAM and more than 3dB is achieved for the 64 QAM structure. However it is important to notice that such non iterative scheme also incurs a non-affordable complexity and a huge processing delay. 42
  • 3. ISSN (ONLINE): 2395-695X ISSN (PRINT): 2395-695X International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST) Vol. 2, Issue 12, December 2016 C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS Input data Shift Register Comparator Controller Odd Counter Even Counter Encoded Output II.SYSTEM MODEL An existing system of a CJDD scheme for MIMO wireless communication systems with convolutional codes can be modified as ETI scheme for MIMO with Viterbi codes. In an existing system provides a complex trace back unit in decoder that reduces efficiency and throughput. In order to overcome this, Bit split mapping based on JDD is designed. Here Embedded Transition Inversion coding is used for encoding and Viterbi code is used for decoding. Fig 1. Embedded Transition Inversion Encoding A technique of converting high bit depth and / or high sample rate digital audio signals to a form that can be recorded at lower bit depth and sample rates. A device that can do bit splitting will break the high resolution audio into several tracks of lower resolution data for recording. Error coding is a method of detecting and correcting errors to ensure information is transferred from its source to its destination. The decoder uses two metrics the branch metric and the path metric. The key insight in Viterbi algorithm is that the receiver can compute the path metric for a (state, time) pair incrementally using the path metrics of previously computed states and branch metrics. A general technique called bit splitting gives us a way to do that. The idea is straight forward: the encoder does not send every parity bit produced in each stream, but “splitter” the stream sending only a subset of the bits that are agreed-upon between encoder and decoder. This technique gives the BER performance up to 5 dB .The reason for the superior performance of the codes is that they have the greater space distance. The greater space distance allows for a large number of closely spaced errors to be corrected. Bit error rate testing is a powerful methodology for end to end testing of digital transmission systems. 43
  • 4. ISSN (ONLINE): 2395-695X ISSN (PRINT): 2395-695X International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST) Vol. 2, Issue 12, December 2016 C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS III. RESULTS AND DISCUSSION Fig 2. Signal Generation Figure 2 shows the generation of an analog signal using matlab coding. Signal is important for transmitting the data. It is the basic step in the wireless data transmission. Analog signals are continuously varing signals with the response of time and amplitude. Fig 3. Binary Conversion of an Analog Signal. Figure 3 shows that the binary conversion of signal. Wireless communication need the digital data for transmitting the information for better communication. The binary digits are representing the values of data to be transmitted from the encoder side from the source. 44
  • 5. ISSN (ONLINE): 2395-695X ISSN (PRINT): 2395-695X International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST) Vol. 2, Issue 12, December 2016 C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS Fig 4. Signal generation of ½ rate encoder Figure 4 shows the values of ½ encoder. The encoding signals are generated based on the clock, reset values. The clock signal is used for synchronizing the encoding. Reset values clear the past responses. Fig 5. Encoded output Figure 5 shows the encoded output. The error signal is transmitted in the input side. By using the MIMO decoder the correct encoding signals are generated. ETI plays an important role to produce the encoded data. 45
  • 6. ISSN (ONLINE): 2395-695X ISSN (PRINT): 2395-695X International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST) Vol. 2, Issue 12, December 2016 C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS Fig 6. Bit Error Performance Analysis Figure 6 shows the decoded output wave from generator for different code rate with QAM. The bit error improvement is analyzed by different code rate of the signals. Final results gives the decoded waveform of QAM using MIMO decoder. IV. CONCLUSION AND FUTURE WORK This paper presents an algorithm and the VLSI architecture of the CJDD approach for the MIMO wireless communication systems. A formal outline of algorithm is given and simulation results are presented showing that the proposed CJDD algorithm can greatly improve the BER performance with different system settings. In addition, the VLSI architecture and an implementation of the proposed CJDD processor are illustrated, and the optimization techniques to improve the design efficiency are introduced. The post synthesized experimental results show that this design can achieve a reduced system complexity compared with the conventional separate scheme with configurability. As power densities continue to rise, interleaved boost designs become a powerful tool to keep input currents manageable and increase efficiency, while still maintaining good power density. With mandates on energy savings more common, interleaved construction may be the only way to achieve design objectives. The benefits of this approach are demonstrated by a two-phase boost converter design built around the LM5032 pulse-width modulation (PWM) controller. REFERENCES [1] D. Gesbert, M. Shafi, D.-S. Shiu, P. J. Smith, and A. Naguib, “From theory to practice: An overview of MIMO space–time coded wireless systems,” IEEE J. Sel. Areas Commun., vol. 21, no. 3, pp. 281–302, Apr. 2003. [2] B. M. Hochwald and S. ten Brink, “Achieving near-capacity on a multiple- antenna channel,” IEEE Trans.Commun., vol. 51, no. 3,pp. 389–399, Mar. 2003. 46
  • 7. ISSN (ONLINE): 2395-695X ISSN (PRINT): 2395-695X International Journal of Advanced Research in Basic Engineering Sciences and Technology (IJARBEST) Vol. 2, Issue 12, December 2016 C. Amar Singh Feroz et al. © IJARBEST PUBLICATIONS [3] A.D.Murugan, H. El Gamal, M. O. Damen, and G. Caire, “A unified framework for tree Search decoding: Re discovering the sequential decoder,” IEEE Trans. Inf. Theory, vol. 52, no. 3, pp. 933– 953, Mar.2006. [4] F. Sun and T. Zhang, “Low-power state-parallel relaxed adaptive Viterbi decoder,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 54, no. 5, pp. 1060–1068, May 2007. [5] J. Ketonen, M. Juntti, and J. R. Cavallaro, “Performance—Complexity comparison of receivers for a LTE MIMO–OFDM system,” IEEE Trans. Signal Process., vol. 58, no. 6, pp. 3360–3372, Jun. 2010. [6] C. Studer, A. Burg, and H. Bolcskei, “Soft-output sphere decoding: Algorithms and VLSI implementation,” IEEE J. Sel. Areas Commun., vol. 26, no. 2, pp. 290–300, Feb. 2008. [7] M. Mahdavi and M. Shabany, “Novel MIMO detection algorithm for high-order constellations in the complex domain,” IEEE Trans.Very Large Scale Integr.(VLSI) Syst., vol. 21, no. 5, pp. 834–847, May 2013. [8] L. Boher, R. Rabineau, and M. Helard, “FPGA implementation of an iterative receiver for MIMO– OFDM systems,” IEEE J. Sel. Areas Commun., vol. 26, no. 6, pp. 857–866, Aug. 2008. [9] H. Vikalo and B. Hassibi, “On joint detection and decoding of linear block codes on Gaussian vector channels,” IEEE Trans. Signal Process., vol. 54, no. 9, pp. 3330–3342, Sep. 2006. [10]C. P. Sukumar, C.-A. Shen, and A. M. Eltawil, “Joint detection and decoding for MIMO systems using Convolutional codes: Algorithm and VLSI architecture,” IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 59, no.9, pp. 1919–1931, Sep. 2012. [11]J. He, H. Liu, Z. Wang, X. Huang, and K. Zhang, “High-speed low power Viterbi decoder design for TCM decoders,” IEEE Trans. Very Large Scale Integr. (VLSI) Syst., vol. 20, no. 4, pp. 755–759, Apr. 2012. [12]E. Dahlman, S. Parkvall, and J. Skold, 4G: LTE/LTE-Advanced for Mobile Broadband. New York, NY, USA: Academic, 2011. [13]S. Lin and D. J. Costello, Jr., Error Control Coding, 2nd ed. Englewood Cliffs, NJ, USA: Prentice-Hall, 2004. [14]D. Patel, V. Smolyakov, M. Shabany, and P. G. Guluk, “VLSI implementation of a WiMAX/LTE compliant low-complexity high throughput soft-output K-Best MIMO detector,” in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), May/Jun. 2010, pp. 593–596. [15]L. Bahl, J. Cocke, F. Jelinek, and J. Raviv, “Optimal decoding of linear codes for minimizing symbol error rate (Corresp.),” IEEE Trans. Inf. Theory, vol. IT-20, no. 2, pp. 284–287, Mar. 1974. 47