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ISSN: 2278-1323
                   International Journal Of Advanced Research in Computer Engineering &Technology
                                                                       Volume 1, Issue 4, June 2012

 Performance Analysis of LDPC Coded
  WLAN Physical Layer under BPSK
            and 16-QAM
                                           Ginni Sharma


Abstract                                                 postulated the principle of transmitting messages
                                                         simultaneously through a linear band-limited
WLAN plays an important role as a complement             channel without ICI and ISI. The Saltzberg [2] in
to the existing or planned cellular networks             1967 analyzed the performance of such a system.
which can offer high speed voice, video and data         The major contribution to the OFDM technique
service up to the customer end. The aim of this          is given by Weinstein and Ebert [3] which
paper is to analysis the performance of coded            demonstrated the use of the discrete Fourier
WLAN system for BPSK under AWGN channel.                 transform (DFT) to perform the baseband
The low-density parity-check (LDPC) coding is            modulation and demodulation. Peled and Ruiz
considered as the high-performance channel               [4] suggested the filling of guard space with the
coding scheme due to its good trade off between          cyclic extension of the OFDM symbol which
performance and complexity.The performance of            solves the problem of orthogonality over
LDPC (Low Density Parity check matrix code)              dispersive channel.
encoder WLAN system is in terms of graph
between BER and SNR. We also verify the                  A low-density parity-check (LDPC) code is a
system performance with different code rates             linear error correcting code, a method of
and different parity check matrix.                       transmitting a message over a noisy transmission
                                                         channel,[12][13] . In 1962, Gallager reported
Keywords: OFDM, BER, SNR, WLAN, AWGN,                    work on binary codes defined in terms of low
                                                         density parity check matrices (abbreviated `GL
LDPC, Code rate.                                         codes') [5, 6][14]. Low Density Parity Check
                                                         codes can be specified by a Non-Systematic
                                                         Sparse Parity-Check Matrix, H, having a uniform
                                                         column weight, (3)and a uniform row weight. H
1. INTRODUCTION
                                                         is constructed at random subject to these
                                                         constraints. An (n,j,k) LDPC code is specified by
The Wireless Local Area Network (WLAN)                   a parity check matrix,H having n-k rows, n
technology is defined by the IEEE 802.11 family          columns and j 1's per column. The matrix
of specifications. The standard defines a medium         defined in equation (1) is a parity check matrix
access control (MAC) sub-layer and three                 with dimension n ×m for a (8, 4) code.
physical (PHY) layers. The goal of the IEEE
802.11 protocol is to describe a wireless LAN
that delivers services commonly found in wired
networks, e.g., throughput, reliable data delivery,
and continuous network connections. Orthogonal
Frequency Division Multiplexing (OFDM) is a
very attractive technique to achieve the high-bit-
rate data transmission and is used in WLAN
standard.
                                                         Tanner introduced an effective graphical
The OFDM system divides the wide signal                  representation for LDPC codes. The two types of
bandwidth into many narrowband sub channels              nodes in a Tanner graph are called variable
that are transmitted in parallel. The subcarriers        nodes (v-nodes) and check nodes (c-nodes).
are orthogonal to each other means that they are         Figure is an example for such a Tanner graph . It
mathematical independent. In 1960, Chang [1]             consists of m check nodes (the number of parity

                                                                                                     115
                                    All Rights Reserved © 2012 IJARCET
ISSN: 2278-1323
                    International Journal Of Advanced Research in Computer Engineering &Technology
                                                                          Volume 1, Issue 4, June 2012
bits) and n variable nodes (the number of bits in      an IFFT are N orthogonal sinusoids. These N
a codeword). The creation of such a graph is           orthogonal sinusoids each have a different
rather straight forward. It consists of m check        frequency and the lowest frequency is Decoding
nodes (the number of parity bits) and n variable       Cycle. Since the input symbols are complex, the
nodes (the number of bits in a codeword).              value of the symbol determines both the
                                                       amplitude and phase of the sinusoid for that
                                                       subcarrier. The IFFT output is the summation of
                                                       all N sinusoids. The block of N output samples
                                                       from the IFFT make up a single OFDM
                                                       symbol.To mitigate the effects of inter-symbol
                                                       interference (ISI), each block of IFFT
                                                       coefficients is typically presented by a cyclic
                                                       prefix [5, 6, 7].




Figure 1: Tanner graph corresponding to the
     parity check matrix in equation (1)

we mainly considered the systematic block
codes, such as CC and low-density parity-check
(LDPC) codes. LDPC and the iterative decoding
algorithm were first proposed by Gallager [6].
However, they had been silent for more than
three decades until MacKay [7] rediscovered
them. Recently, intensive research has been                FIGURE 2: Block diagram showing WLAN
dedicated to LDPC due to its excellent                               Physical Layer transceiver
performance. It has been used in IEEE 802.11n           At the receiving side, a reverse process
[8] and 802.16 [9] standards. Compared with the         (including deinterleaving and decoding) is
convolutional or Turbo coding, LDPC shows               performed to obtain the original data bits. At the
stronger error correction capability, lower             receiver, an FFT block is used to process the
decoding complexity and more flexible                   received signal and bring it into the frequency
scalability.                                            domain. Ideally, the FFT output will be the
                                                        original symbols that were sent to the IFFT at the
2. PHYSICAL LAYER STRUCTURE OF                          transmitter.     The degradation of OFDM
     WLAN                                               performance due to frequency offset or/and
The complete channel encoding setup at                  phase noise is much more severe in comparison
transmitting side and decoding setup at receiving       with single carrier modulation [8, 9].
side of the WLAN physical layer is shown in
figure 2. In this setup, the input binary data          3. SIMULATION RESULTS
stream is ensured against errors with convolution       This system is simulated by introducing the
codes and interleaved.The LDPC encoded bits             LDPC encoder block. And the simulation is
are interleaved further prior to convert into           implemented
modulation symbols in BPSK modulation. The              using matlab coding.. Parity-check matrix of
symbols which are digitally modulated                   the LDPC code is stored as a sparse logical
transmitted in parallel on subcarriers through          matrix. As the order of modulation increases, the
implementation as an Inverse Fast Fourier               bit error rate (BER) increases. Forward Error
Transform (IFFT). An OFDM system takes the              correction (FEC) coding like LDPC coding is
source symbols in the frequency-domain. The             generally used to Improve BERperformance.
inputs to an IFFT block are the symbols that            LDPC provides large minimum distance and also
brings the signal into the time domain. The IFFT        the power efficiency of the LDPC code increases
takes in N symbols at a time, where N is the            significantly with the code length.The WLAN
number of subcarriers in the system. Each of            system using different modulation schemes in
these N input symbols has a symbol period of T          the presence of AWGN channel was simulated
seconds. As we know that the basis functions for        using Matlab.The different digital modulation

                                                                                                     116
                                   All Rights Reserved © 2012 IJARCET
ISSN: 2278-1323
                       International Journal Of Advanced Research in Computer Engineering &Technology
                                                                              Volume 1, Issue 4, June 2012
  schemes using for the simulation are BPSK. And          code under different modulation. From the
  QAM .We are using LDPC encoder with                     overall comparison of LDPC encoder result, we
  different code rate value ie (48 , 40 ) ,(48 ,44 )      find that code rate (48, 46) under BPSK gives the
  and (48 , 46) under BPSK and QAM                        best result among all the rates i.e. (48, 40), (48,
  modulation in AWGN channel. Figure 3 display            44) and (48, 46) in Additive White Gaussian
  the performance on Additive White Gaussian              Noise (AWGN) channel as compared other
  Noise (AWGN) performance under BPSK                     modulation formats. From the overall
  modulation schemes for a LDPC Encoder with              comparison of LDPC encoder result in table 1,
  different rate value ie (48 , 40 ) ,(48 ,44 ) and (48   we find that code rate (48, 46) under BPSK gives
  , 46) in AWGN channel.                                  the best result among all the rates.

                                                               Table 1 Comparison table of LDPC
                                                            Modulation           Code Rate
                                                             format
                                                               BPSK           N=48,      N=48,       N=48,
                                                                              k=40,      k=44,       k=46,
                                                                               q=8        q=6         q=2


                                                           5. REFERENCES

                                                                [1] Chang, R. W., “Synthesis of Band-
                                                                    Limited Orthogonal Signals for
    Figure 3 BER Vs SNR of BPSK in AWGN                             Multichannel Data Transmission,” Bell
               channel under LDPC                                   Systems Technical Journal, Vol. 45,
  Fig 4 shows the simulation resu;ts of QAM                         December 1960, pp. 1775–1796.
  under LDPC coding. We have seen that there is a               [2] Saltzberg, B. R., “Performance of an
  reduction in BER with coding with less                            Efficient Parallel Data Transmission
  transmitted power, making the link power
                                                                    System,”IEEE           Trans.        on
  efficient.
                                                                    Communications, Vol. COM-15, No. 6,
                                                                    December 1967,pp. 805–811.
                                                                [3] Weinstein, S. B., and P. M. Ebert, “Data
                                                                    Transmission of Frequency Division
                                                                    Multiplexing Using the Discrete
                                                                    Frequency Transform,” IEEE Trans. on
                                                                    Communications, Vol. COM-19, No. 5,
                                                                    October 1971, pp. 623–634.
                                                                [4] Peled, A., and A. Ruiz, “Frequency
                                                                    Domain Data Transmission Using
                                                                    Reduced Computational Complexity
                                                                    Algorithms,” Proc. IEEE Int. Conf. on
   Figure 4 BER Vs SNR of QAM in AWGN                               Acoustics,    Speech,     and     Signal
             channel under LDPC                                     Processing (ICASSP ’80), Denver, CO,
                                                                    1980, pp. 964–967.
4. CONSLUSION                                                   [5] Performance Enhancement of Wireless
  A performance analysis of WLAN system
                                                                    Local Area Networks, Walid Hneiti Dr.
  adopting LDPC encoding with block interleaver
  has been carried out. The BER curves were used                    Naim Ajlouni, Amman Arab.
  to measure        the performance of BPSK                     [6] Performance Evaluation of Wimax
  modulation techniques. Performance results                        Physical    Layer     under    Adaptive
  highlight the impact of modulation scheme and                     Modulation                   Techniques
  show that the implementation of an rated LDPC                     andCommunication Channels Md.


                                                                                                        117
                                     All Rights Reserved © 2012 IJARCET
ISSN: 2278-1323
                International Journal Of Advanced Research in Computer Engineering &Technology
                                                                       Volume 1, Issue 4, June 2012
     Ashraful Islam, Riaz Uddin Mondal &
     Md. Zahid Hasan.
[7] J. Chuang and N. Sollenberger,
     “Beyond 3G: Wideband wireless data
     access based on OFDM and dynamic                                     Ginni Sharma was born in
     packet         assignment,”        IEEE                Batala, Punjab, on July 31,1985.She
                                                            received B.Tech in engineering from
     Communications Mag., vol. 38, pp. 78–
                                                            SSCET, Badhani , Punjab in 2006 and
     87, July 2000.                                         MTech degree in electronics and
[8] Ahmad R.S. Bahai and Burton R.                          telecommunications        from     BCET,
     Saltzberg.      “Multicarrier     digital              Gurdaspur, Punjab in 2010.Nows She is
     communications,          theory      and               working      with Lovely Professonial
     applications of OFDM”, Kluwer                          University ,Phagwara , Punjab with
                                                            Department       of    Electronics    and
     Academic Publishers, pp. 192 (2002)
                                                            Communications as an Assistant
[9] S.      Glisic.    “Advanced      Wireless              Professor. Her current research interests
     Communications, 4G Technology”.                        include channel coding and different
     John Wiley & Sons Ltd: Chichester,                     types of channels. I have already
     2004.                                                  published three papers in international
[10] J.Armstrong, “Analysis of New and                      journals .I got three times top positions
     Existing     Methods       of   Reducing               during my BTech degree.
                                                            erginnisharma@gmail.com
     Intercarrier Interference Due to Carrier
     Frequency Offset in OFDM,” IEEE
     Transactions on Comm., vol. 47, March
     1999, pp. 365–369.
[11] J.Yia-Yun, C.Jian, Q.Ying, T.Yang-
     ling, “A Method to Eliminate Effects of
     Phase Noise in OFDM Synchronization
     System,”Journal         of      Shanghai
     University, vol. 3, No 3, Sept. 1999, pp.
     214–217.
[12] David        J.C.     MacKay      (2003)
     Information theory, Inference &
     Learning Algorithms , CUP, ISBN 0-
     521-64298-1, (also available online)
[13] Todd K. Moon (2005) Error
     Correction      Coding,      Mathematical
     Methods and Algorithms . Wiley, ISBN
     0-471-64800-0 (Includes code)
[14] David J.C. MacKay ,”Near Shannon
     Limit Performance of Low Density
     Parity      Check      Codes”Cavendish
     Laboratory,        Cambridge,       CB3
     0HE,United Kindom.
[15] Madhusmita Mishra,”Performance of
     Power Efficient LDPC Coded OFDM
     over AWGN Channel “National
     Institute Of Technology Rourkella-
     769008,India
     madhusmita.nit@gmail.com




                                                                                                118
                              All Rights Reserved © 2012 IJARCET

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  • 1. ISSN: 2278-1323 International Journal Of Advanced Research in Computer Engineering &Technology Volume 1, Issue 4, June 2012 Performance Analysis of LDPC Coded WLAN Physical Layer under BPSK and 16-QAM Ginni Sharma Abstract postulated the principle of transmitting messages simultaneously through a linear band-limited WLAN plays an important role as a complement channel without ICI and ISI. The Saltzberg [2] in to the existing or planned cellular networks 1967 analyzed the performance of such a system. which can offer high speed voice, video and data The major contribution to the OFDM technique service up to the customer end. The aim of this is given by Weinstein and Ebert [3] which paper is to analysis the performance of coded demonstrated the use of the discrete Fourier WLAN system for BPSK under AWGN channel. transform (DFT) to perform the baseband The low-density parity-check (LDPC) coding is modulation and demodulation. Peled and Ruiz considered as the high-performance channel [4] suggested the filling of guard space with the coding scheme due to its good trade off between cyclic extension of the OFDM symbol which performance and complexity.The performance of solves the problem of orthogonality over LDPC (Low Density Parity check matrix code) dispersive channel. encoder WLAN system is in terms of graph between BER and SNR. We also verify the A low-density parity-check (LDPC) code is a system performance with different code rates linear error correcting code, a method of and different parity check matrix. transmitting a message over a noisy transmission channel,[12][13] . In 1962, Gallager reported Keywords: OFDM, BER, SNR, WLAN, AWGN, work on binary codes defined in terms of low density parity check matrices (abbreviated `GL LDPC, Code rate. codes') [5, 6][14]. Low Density Parity Check codes can be specified by a Non-Systematic Sparse Parity-Check Matrix, H, having a uniform column weight, (3)and a uniform row weight. H 1. INTRODUCTION is constructed at random subject to these constraints. An (n,j,k) LDPC code is specified by The Wireless Local Area Network (WLAN) a parity check matrix,H having n-k rows, n technology is defined by the IEEE 802.11 family columns and j 1's per column. The matrix of specifications. The standard defines a medium defined in equation (1) is a parity check matrix access control (MAC) sub-layer and three with dimension n ×m for a (8, 4) code. physical (PHY) layers. The goal of the IEEE 802.11 protocol is to describe a wireless LAN that delivers services commonly found in wired networks, e.g., throughput, reliable data delivery, and continuous network connections. Orthogonal Frequency Division Multiplexing (OFDM) is a very attractive technique to achieve the high-bit- rate data transmission and is used in WLAN standard. Tanner introduced an effective graphical The OFDM system divides the wide signal representation for LDPC codes. The two types of bandwidth into many narrowband sub channels nodes in a Tanner graph are called variable that are transmitted in parallel. The subcarriers nodes (v-nodes) and check nodes (c-nodes). are orthogonal to each other means that they are Figure is an example for such a Tanner graph . It mathematical independent. In 1960, Chang [1] consists of m check nodes (the number of parity 115 All Rights Reserved © 2012 IJARCET
  • 2. ISSN: 2278-1323 International Journal Of Advanced Research in Computer Engineering &Technology Volume 1, Issue 4, June 2012 bits) and n variable nodes (the number of bits in an IFFT are N orthogonal sinusoids. These N a codeword). The creation of such a graph is orthogonal sinusoids each have a different rather straight forward. It consists of m check frequency and the lowest frequency is Decoding nodes (the number of parity bits) and n variable Cycle. Since the input symbols are complex, the nodes (the number of bits in a codeword). value of the symbol determines both the amplitude and phase of the sinusoid for that subcarrier. The IFFT output is the summation of all N sinusoids. The block of N output samples from the IFFT make up a single OFDM symbol.To mitigate the effects of inter-symbol interference (ISI), each block of IFFT coefficients is typically presented by a cyclic prefix [5, 6, 7]. Figure 1: Tanner graph corresponding to the parity check matrix in equation (1) we mainly considered the systematic block codes, such as CC and low-density parity-check (LDPC) codes. LDPC and the iterative decoding algorithm were first proposed by Gallager [6]. However, they had been silent for more than three decades until MacKay [7] rediscovered them. Recently, intensive research has been FIGURE 2: Block diagram showing WLAN dedicated to LDPC due to its excellent Physical Layer transceiver performance. It has been used in IEEE 802.11n At the receiving side, a reverse process [8] and 802.16 [9] standards. Compared with the (including deinterleaving and decoding) is convolutional or Turbo coding, LDPC shows performed to obtain the original data bits. At the stronger error correction capability, lower receiver, an FFT block is used to process the decoding complexity and more flexible received signal and bring it into the frequency scalability. domain. Ideally, the FFT output will be the original symbols that were sent to the IFFT at the 2. PHYSICAL LAYER STRUCTURE OF transmitter. The degradation of OFDM WLAN performance due to frequency offset or/and The complete channel encoding setup at phase noise is much more severe in comparison transmitting side and decoding setup at receiving with single carrier modulation [8, 9]. side of the WLAN physical layer is shown in figure 2. In this setup, the input binary data 3. SIMULATION RESULTS stream is ensured against errors with convolution This system is simulated by introducing the codes and interleaved.The LDPC encoded bits LDPC encoder block. And the simulation is are interleaved further prior to convert into implemented modulation symbols in BPSK modulation. The using matlab coding.. Parity-check matrix of symbols which are digitally modulated the LDPC code is stored as a sparse logical transmitted in parallel on subcarriers through matrix. As the order of modulation increases, the implementation as an Inverse Fast Fourier bit error rate (BER) increases. Forward Error Transform (IFFT). An OFDM system takes the correction (FEC) coding like LDPC coding is source symbols in the frequency-domain. The generally used to Improve BERperformance. inputs to an IFFT block are the symbols that LDPC provides large minimum distance and also brings the signal into the time domain. The IFFT the power efficiency of the LDPC code increases takes in N symbols at a time, where N is the significantly with the code length.The WLAN number of subcarriers in the system. Each of system using different modulation schemes in these N input symbols has a symbol period of T the presence of AWGN channel was simulated seconds. As we know that the basis functions for using Matlab.The different digital modulation 116 All Rights Reserved © 2012 IJARCET
  • 3. ISSN: 2278-1323 International Journal Of Advanced Research in Computer Engineering &Technology Volume 1, Issue 4, June 2012 schemes using for the simulation are BPSK. And code under different modulation. From the QAM .We are using LDPC encoder with overall comparison of LDPC encoder result, we different code rate value ie (48 , 40 ) ,(48 ,44 ) find that code rate (48, 46) under BPSK gives the and (48 , 46) under BPSK and QAM best result among all the rates i.e. (48, 40), (48, modulation in AWGN channel. Figure 3 display 44) and (48, 46) in Additive White Gaussian the performance on Additive White Gaussian Noise (AWGN) channel as compared other Noise (AWGN) performance under BPSK modulation formats. From the overall modulation schemes for a LDPC Encoder with comparison of LDPC encoder result in table 1, different rate value ie (48 , 40 ) ,(48 ,44 ) and (48 we find that code rate (48, 46) under BPSK gives , 46) in AWGN channel. the best result among all the rates. Table 1 Comparison table of LDPC Modulation Code Rate format BPSK N=48, N=48, N=48, k=40, k=44, k=46, q=8 q=6 q=2 5. REFERENCES [1] Chang, R. W., “Synthesis of Band- Limited Orthogonal Signals for Figure 3 BER Vs SNR of BPSK in AWGN Multichannel Data Transmission,” Bell channel under LDPC Systems Technical Journal, Vol. 45, Fig 4 shows the simulation resu;ts of QAM December 1960, pp. 1775–1796. under LDPC coding. We have seen that there is a [2] Saltzberg, B. R., “Performance of an reduction in BER with coding with less Efficient Parallel Data Transmission transmitted power, making the link power System,”IEEE Trans. on efficient. Communications, Vol. COM-15, No. 6, December 1967,pp. 805–811. [3] Weinstein, S. B., and P. M. Ebert, “Data Transmission of Frequency Division Multiplexing Using the Discrete Frequency Transform,” IEEE Trans. on Communications, Vol. COM-19, No. 5, October 1971, pp. 623–634. [4] Peled, A., and A. Ruiz, “Frequency Domain Data Transmission Using Reduced Computational Complexity Algorithms,” Proc. IEEE Int. Conf. on Figure 4 BER Vs SNR of QAM in AWGN Acoustics, Speech, and Signal channel under LDPC Processing (ICASSP ’80), Denver, CO, 1980, pp. 964–967. 4. CONSLUSION [5] Performance Enhancement of Wireless A performance analysis of WLAN system Local Area Networks, Walid Hneiti Dr. adopting LDPC encoding with block interleaver has been carried out. The BER curves were used Naim Ajlouni, Amman Arab. to measure the performance of BPSK [6] Performance Evaluation of Wimax modulation techniques. Performance results Physical Layer under Adaptive highlight the impact of modulation scheme and Modulation Techniques show that the implementation of an rated LDPC andCommunication Channels Md. 117 All Rights Reserved © 2012 IJARCET
  • 4. ISSN: 2278-1323 International Journal Of Advanced Research in Computer Engineering &Technology Volume 1, Issue 4, June 2012 Ashraful Islam, Riaz Uddin Mondal & Md. Zahid Hasan. [7] J. Chuang and N. Sollenberger, “Beyond 3G: Wideband wireless data access based on OFDM and dynamic Ginni Sharma was born in packet assignment,” IEEE Batala, Punjab, on July 31,1985.She received B.Tech in engineering from Communications Mag., vol. 38, pp. 78– SSCET, Badhani , Punjab in 2006 and 87, July 2000. MTech degree in electronics and [8] Ahmad R.S. Bahai and Burton R. telecommunications from BCET, Saltzberg. “Multicarrier digital Gurdaspur, Punjab in 2010.Nows She is communications, theory and working with Lovely Professonial applications of OFDM”, Kluwer University ,Phagwara , Punjab with Department of Electronics and Academic Publishers, pp. 192 (2002) Communications as an Assistant [9] S. Glisic. “Advanced Wireless Professor. Her current research interests Communications, 4G Technology”. include channel coding and different John Wiley & Sons Ltd: Chichester, types of channels. I have already 2004. published three papers in international [10] J.Armstrong, “Analysis of New and journals .I got three times top positions Existing Methods of Reducing during my BTech degree. erginnisharma@gmail.com Intercarrier Interference Due to Carrier Frequency Offset in OFDM,” IEEE Transactions on Comm., vol. 47, March 1999, pp. 365–369. [11] J.Yia-Yun, C.Jian, Q.Ying, T.Yang- ling, “A Method to Eliminate Effects of Phase Noise in OFDM Synchronization System,”Journal of Shanghai University, vol. 3, No 3, Sept. 1999, pp. 214–217. [12] David J.C. MacKay (2003) Information theory, Inference & Learning Algorithms , CUP, ISBN 0- 521-64298-1, (also available online) [13] Todd K. Moon (2005) Error Correction Coding, Mathematical Methods and Algorithms . Wiley, ISBN 0-471-64800-0 (Includes code) [14] David J.C. MacKay ,”Near Shannon Limit Performance of Low Density Parity Check Codes”Cavendish Laboratory, Cambridge, CB3 0HE,United Kindom. [15] Madhusmita Mishra,”Performance of Power Efficient LDPC Coded OFDM over AWGN Channel “National Institute Of Technology Rourkella- 769008,India madhusmita.nit@gmail.com 118 All Rights Reserved © 2012 IJARCET