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Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and
                   Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                         Vol. 2, Issue4, July-August 2012, pp.1192-1196
         PAPR Reduction of an MC-CDMA System through PTS
          Technique using Suboptimal Combination Algorithm
                                Gagandeep Kaur1, Rajbir Kaur2
                         1
                  Student , University College of Engineering, Punjabi University, Patiala, India
            Assistant Professor2, University College of Engineering, Punjabi University, Patiala, India

ABSTRACT
        Multicarrier Code Division Multiple                  groups: signal distortion techniques, signal
Access is the most promising technique for high              scrambling techniques and coding techniques.
speed data transmission. However, the MC-                    Signal distortion schemes reduce the amplitude by
CDMA signals are characterized by large peak to              linearly distorting the MC-CDMA signal at or
average power ratios (PAPR), which can reduce                around the peaks. This includes techniques like
the system efficiency. In this paper PAPR                    clipping, peak windowing, and peak cancellation
reduction of an MC-CDMA system using PTS                     [1], [5]. It is the simplest technique but it causes in-
technique is investigated by using suboptimal                band and out-band distortion. Scrambling scheme is
combination algorithm, which uses binary phase               based on scrambling each MC-CDMA signal with
factors, for BPSK and QPSK modulation                        large PAPR. It includes techniques such as Selected
techniques at different number of active users.              Mapping (SLM), and Partial Transmit Sequence
The results show that BPSK is a more effective               (PTS). In case of PTS technique [7-8], MC-CDMA
modulation scheme for PAPR reduction in MC-                  sequences are partitioned into sub-blocks and each
CDMA system.                                                 sub-block is multiplied by phase weighting factor to
                                                             produce alternative sequences with low PAPR.
  Keywords: MC-CDMA, PAPR, Partial Transmit                  However large number of phase weighting factors
Sequence, Complementary Cumulative Distribution              increases the hardware complexity and makes the
Function.                                                    whole system vulnerable to the effect of phase
                                                             noise. The SLM technique [9-16] pseudorandomly
1. INTRODUCTION                                              modifies the phases of the original information
          The multicarrier transmission has been             symbols in each MC-CDMA block several times
considered as an attractive technique that offers the        and selects the phase modulated MC-CDMA with
desired high data rates for the 4G mobile                    best PAPR performance for transmission.
environment. It also has advantages for spectral                       In this paper we have investigated PAPR
efficiency    and    low     cost   implementation.          reduction on partial transmit sequence (PTS)
Multicarrier code division multiple access technique         method using suboptimal combination algorithm
(MC-CDMA) is a combination of CDMA scheme                    which uses binary phase factors.
and OFDM signaling is the most promising
candidate for the next generation of wireless                2. SYSTEM DESCRIPTION
communication for achieving high data rates. In              2.1 MC-CDMA system
addition it provides an efficient method for                          The transmitter model of downlink MC-
frequency diversity, overcoming the inter-symbol             CDMA system is shown in fig.1. The block of M
interference (ISI) in frequency selective Rayleigh           complex valued symbol, d ( k )  [d1( k ) , d2k ) ,..., d M ) ] of
                                                                                                                     (      (k

fading environment by using guard interval. [1]- [3]              th
                                                             the k user is firstly serial –paralleled into a M-
          However, MC-CDMA has some major                    length    vector      as           d  [d1 , d 2 ,..., d M ] ,
                                                                                                  (k )        (k )     (k )  (k ) T

drawbacks to implement it in practical
                                                             k=1,2,…,K. After this serial to parallel conversion,
telecommunication systems. One of them is that
                                                             each symbol is frequency domain spread by a user
MC-CDMA signal suffers a high Peak to Average
Power Ratio (PAPR). A high PAPR easily makes                 spreading code c( k )  [c1( k ) , c2k ) ,..., cLk ) ] , where L
                                                                                                 (           (


signal peaks to move into the non-linear region of           denotes length of the spreading code. As spreading
the RF power amplifier which causes signal                   sequences, orthogonal sets of sequences are
distortion. A large PAPR increases the complexity            preferred for reducing low multiuser interference.
of the analog-to-digital and digital-to-analog               Walsh-Hadamard (WH) sequences are used as
converters and reduces the efficiency of RF power            spreading sequences in this procedure. The input of
amplifier.                                                   K users is summed up and is interleaved in
          Therefore it is desirable that transmitted         frequency                      domain                                as
                                                                    K
signal possess reduced peaks and in order to achieve
this there are several PAPR reduction techniques.            X    X
                                                                   k 1
                                                                          (k )
                                                                                  [X 0 , X1 ,..., X N 1 ]T to    obtain      the
These techniques are divided into three
                                                             diversity effects by placing the chip symbol
                                                             elements that corresponds to same symbol on

                                                                                                                  1192 | P a g e
Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and
                     Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                           Vol. 2, Issue4, July-August 2012, pp.1192-1196
subcarrier that are distance M apart. After frequency                        The CCDF of the PAPR of the data block
interleaving the symbol elements are fed into IFFT                  is desired is our case to compare various reduction
block of size N  M  L for OFDM operation. The                     techniques. This is given by [4]:
resultant baseband signal for one MC-CDMA
symbol is represented as                                            P( PAPR   )  1  P( PAPR   )
                                                                                   1  F ( ) N
                 K     M   L

             dmk ) cl(k ) e j 2 (M (l 1)(m1))t / NT
          1
s(t )                     (
                                                              (1)                   1  (1  exp( )) N              (4)
          N k 1 m 1 l 1
                                                                             When calculating the PAPR, we have to
                                                                    consider the actual time domain signal that is in
                                                                    analog form. The IFFT outputs, which are symbol
                                                                    spaced sampling values, will miss some of the signal
                                                                    peaks. Therefore, if we calculate PAPR by using
                                                                    these sample values, then the calculated PAPR is
                                                                    less than the actual PAPR [9]. This is an optimistic
                                                                    result and will not illustrate the real situation.
                                                                    However, they are enough for signal reconstruction.
                                                                    To account for this issue, oversampling is performed
                                                                    by low pass filtering the IFFT signal and then
                                                                    sampled at higher rate. Now, the increased samples
Figure 1: MC-CDMA transmitter                                       are close to the real analog signal and calculation of
                                                                    PAPR based on these sample will give a better
2.2 PAPR and Cumulative Distribution Function
                                                                    estimated PAPR.
         Although MC-CDMA is a powerful
multiple access technique but it is not problem free.
MC-CDMA signal has large peak to average ratio                      3. PARTIAL TRANSMIT                     SEQUENCE
(PAPR) .MC-CDMA consist of large number of                             (PTS) METHOD
independently modulated sub carriers where N                                  This method is based on phase shifting of
modulated subcarriers are added with same phase,                    sub-blocks of data and multiplication of data
then peak power is N times the power of MC-                         structure by random vectors. The main purpose
CDMA signal.High PAPR values cause a serious                        behind this method is that the input data frame is
problem to linear power amplifier (PA) used at                      divided into non-overlapping sub-blocks and each
transmitter.                                                        sub-blocks is phase shifted by constant factor to
         The PAPR of the MC-CDMA symbol is                          reduce PAPR [9]. In the PTS technique, an input
defined as ratio of the peak power and the average                  data block of N symbols is partitioned into disjoint
power of a multicarrier signal:                                     sub-bocks. The subcarriers in each sub-block are
                                                                    weighted by phase factor for that sub-block. The
                                    max  s (t ) 
                                                2                   phase factors are selected such that the PAPR of the
              p peak                       
                                                      
                                                                   combined signal is minimized. There are three
PAPR                   10 log10                                   different kinds of sub-block partitioning schemes on
                                     E  s (t )
          paverage                                2
                                       
                                                  
                                                                   which the performance of PTS technique depends:
                                                                    adjacent, interleaved, and pseudorandom. [10-12]
(2)

where ppeak represents output peak power, paverage
means     output           average      power.   denotes   the
expected value.
         The cumulative distribution function
(CDF) is one of the most regularly used parameters,
which is used to measure the efficiency on any
PAPR technique. Normally, the Complementary
CDF (CCDF) is used instead of CDF, which helps
us to measure the probability that the PAPR of a                    Figure 2: Block diagram of conventional PTS
certain data block exceeds the given threshold [5].                 scheme
The CDF of the amplitude of a sample signal is                               In the conventional PTS scheme in MC-
given by                                                            CDMA, before applied to IFFT operation, X, i.e.,
                                                                    the sum of all active user sequences after spreading
F ( )  1  exp( )                                          (3)   and frequency interleaving is input to PTS model as
                                                                    shown in figure 2. [12]

                                                                                                            1193 | P a g e
Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and
                       Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                              Vol. 2, Issue4, July-August 2012, pp.1192-1196
    The data block, Xn , n=0,1,…,N-1 is defined as     4. SIMULATIONS
vector, X  [ X 0, X 1,...., XN  1]T . Then partition X into                                     In this section the performance MC-CDMA
V disjoint sets, represented by vectors X(v) ,                                          system is evaluated using SLM. Table I above
v=1,2,…,V such that                                                                     shows the simulation parameters. If we oversample
        V                                                                               a transmitted signal by a factor of four, the discrete
 X    X
        v 1
                     (v)
                                                                               (5)      PAPR is almost the same as continuous PAPR [13].
                                                                                        Thus we oversample the transmitted signal by a
   The objective of PTS approach is to form                                             factor of four in IFFT process.
weighted combination of V clusters, each of equal
size.                                                                                                        TABLE I
        V
                                                                                                 SIMULATION PARAMETERS
S     b
       v 1
                   (v )
                          X (V )                                               (6)       Spreading codes               Walsh
  where b(v) , v=1,2,…,V are weighting factors or                                                                      Hadamard
phase factors and are assumed to be pure rotations.                                      Modulation process            BPSK, QPSK
  After transferring in time domain equation (6)                                         Processing Gain (L)           16
becomes                                                                                  Number of data symbols per an 8
               V                                                                         MC-CDMA symbol (M)
s(t )   b( v ) x (V )                                                       (7)        Number of sub-carriers (N)    128
              v 1                                                                       Number of active users (K)    8,16
   The vector x(v) called partial transmit sequence is                                   Number of phase sequences (U) 4,8 and 16
the IFFT of X(V). The weighting factors are chosen to                                    Oversampling factor           4
minimize the PAPR by searching for the appropriate
combination of each cluster and by corresponding                                                 The performance metric utilized in
weighting clusters.                                                                     evaluating PAPR reduction scheme is CCDF of the
                                                                                   
b (1) , b (2) ,..., b (V )   b (1),b (2),...,b (V )  0max1  b(v) xn(v) 
                                                                        V
                                                                                        PAPR of transmitted continuous time signal. The
                                       arg min
                                                              m N
                                                                       v 1            resulting CCDF curves are presented for 1,000 input
                                                                                        symbol sequences for different number of phase
                                                                                        sequences (V=2, 4, 8) when considered number of
                                                (8)
                                                                                        active users to be equal to 8and 16. The phase
   The combination with weighting factors is called
                                                                                        sequences used are binary phase sequences {1,-1},
rotation factor or combining sequence. Optimized
                                                                                        which are constructed by suboptimal combination
transmit sequence is
               V
                                                                                        algorithm. The system consists of 128 subcarriers
s (t )   b ( v ) xmv )
           (                                                                 (9)      with modulation schemes used to be BPSK and
              v 1                                                                      QPSK. The results are compared with the original
          In suboptimal combination algorithm, we                                       MC-CDMA signal.
consider binary (i.e.,  1) weighting factors. After
dividing the input data block into V clusters, form
the VN-point PTS’s. As first step, assume that bv  1
for all v and compute the PAPR for the combined
signal (7). Next, invert the first has factor  b1  1
and recomputed the resulting PAPR. If the new
PAPR is lower than the previous step, retain b1 as a
part of final phase sequence; otherwise, b1 reverts to
its previous value. The algorithm continues in this
fashion until all V possibilities for “flipping” the
signs have been explored.
   This algorithm can be summarized as :
1. Partion the input data block into V subsets as in
     equation (5).
2. Set all the phase factors bv for v=1:V, find
     PAPR of equation (7), and set it as PAPR_min.
3. Set the v=2.                                                                         Figure 3: CCDF of PAPR of BPSK modulated MC-
4. Find PAPR of equation (7) with bv = -1.                                              CDMA using PTS scheme for various values of V
5. If PAPR>PAPR_min, switch bv back to 1.                                               with K =8
     Otherwise, update PAPR_min=PAPR.
6. If v<V, increment v by 1 and go back to step 4.                                              Fig. 3 shows the CCDF curves of an BPSK
     Otherwise, exit this process with the set of                                       modulated MC-CDMA system with PTS technique
                                                                                       for 8 users (K=8). In figure 3, at CCDF=10-3, the
     optimal phase factors, b .                                                         PAPR is reduced by 1dB, 2dB, 4.2dB for values of


                                                                                                                             1194 | P a g e
Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and
                   Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                         Vol. 2, Issue4, July-August 2012, pp.1192-1196
V=4,8 and 16 respectively when compared with the
original MC-CDMA signal.




                                                      Figure 6: CCDF of PAPR of QPSK modulated MC-
                                                      CDMA using PTS scheme for various values of V
                                                      with K =16
Figure 4: CCDF of PAPR of QPSK modulated MC-
                                                           Fig. 6 shows the CCDF curves of a QPSK
CDMA using PTS scheme for various values of V
                                                      modulated MC-CDMA system with PTS technique
with K=8
                                                      for 16 users (K=16). In figure 6, at CCDF=10-3, the
                                                      PAPR is reduced by 1dB, 1.4dB, 1.9dB for values of
         Fig. 4 shows the CCDF curves of a QPSK
                                                      V=4,8 and 16 respectively when compared with the
modulated MC-CDMA system with PTS technique
                                                      original MC-CDMA signal.
for 8 users (K=8). In figure 4, at CCDF=10-3, the
PAPR is reduced by 0.3dB, 1.4dB, 4.3dB for values
of V=4,8 and 16 respectively when compared with       5. CONCLUSION
the original MC-CDMA signal.                                   In this paper we examined the effect of
                                                      PTS to reduce PAPR of MC-CDMA for different
                                                      modulation schemes. The binary phase sequences
                                                      considered in this paper are generated with the help
                                                      of suboptimal combination algorithm. From the
                                                      computer simulation, the results obviously shows
                                                      that PAPR reduction performance depends upon
                                                      various number of phase sequence factors (V) and it
                                                      significantly improves with increase in number of V
                                                      for any number of active users and the modulation
                                                      technique. PAPR performance is also compared for
                                                      different modulation schemes (QPSK and BPSK)
                                                      and simultaneously for different number of users.
                                                      The results show that higher PAPR reduction
                                                      performance is achieved when BPSK is used as a
                                                      modulation technique than QPSK for same number
                                                      of active users. The results showed that PTS is more
                                                      effective when BPSK is used as modulation scheme.
Figure 5: CCDF of PAPR of BPSK modulated MC-          From the graphs it can also be concluded that PAPR
CDMA using PTS scheme for various values of V         reduction performance increases with increase in
with K =16                                            number of active users.

         Fig. 5 shows the CCDF curves of a BPSK       ACKNOWLEDGMENT
modulated MC-CDMA system with PTS technique                   We are grateful to the University College
for 16 users (K=16). In figure 5, at CCDF=10-3, the   of Engineering, Punjabi University, Patiala for
PAPR is reduced by 1.2dB, 2.1dB, 2.5dB for values     providing necessary support and infrastructure
of V=4,8 and 16 respectively when compared with
the original MC-CDMA signal.                          REFERENCES
                                                        [1]   R. van Nee and R. Prasad, OFDM for
                                                              Wireless Multimedia Communications,
                                                              Artech House, 2000.



                                                                                          1195 | P a g e
Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and
                  Applications (IJERA) ISSN: 2248-9622 www.ijera.com
                        Vol. 2, Issue4, July-August 2012, pp.1192-1196
[2]    R. Prasad, “OFDM for Wireless
       Communications Systems”, Artech House,
       2004.
[3]    S. Hara and R. Prasad, “Overview of
       Multicarrier CDMA”, IEEE Commun.
       Mag., vol. 35, no. 12, pp. 126 – 133, Dec.
       1997.
[4]    Wang Yi Gu linfeng “An Investigation of
       Peak-to-Average        Power      Reduction
       in     MIMO-OFDM Systems”, Blekinge
       Institute of Technology, October 2009.
[5]    Md. Abdullah Al Baki and Mohammad
       Zavid Parvez, “Peak to Average Power
       Ratio (PAPR) Reduction in OFDM Based
       Radio Systems” Blekinge Institute of
       Technology, May 2010.
[6]    X. Li and L. J. Cimini Jr., “Effects of
       clipping and filtering on the performance of
       OFDM”, IEEE Commun. Lett. vol. 2, no.
       5, pp. 131 – 133, May. 1998.
[7]    Schmidt, H. and Kammeyer, K.-D.,
       “Reducing the peak to average power ratio
       of multicarrier signals by adaptive
       subcarrier selection”, Universal Personal
       Communications, 1998. ICUPC '98. IEEE
       1998 International Conference on, Volume:
       2, Page(s): 933 -937 vol.2, 1998.
[8]    K.W. Bauml, R.F.H. Fischer and J.B.
       Huber, “Reducing the peak to- average
       power ratio of multicarrier modulation by
       selected mapping”, Electron. Lett. vol. 32,
       no. 22, pp. 2056-2057, Oct. 1996.
[9]    C. Tellambura, “A coding technique for
       reducing peak-to-average power ratio in
       OFDM”,         IEEE       Transaction     on
       Communications, Vol.47, No.6, pp 918-
       926, June 1999.
[10]   S.H. Muller and J.B. Huber, “OFDM with
       reduced peak-to-average power ratio by
       optimum combination of Partial Transmit
       Sequence”, Elect. Let.,vol.33, no.5, pp 368-
       369, Feb. 1997
[11]   N. Ruangsurat and R. M. A. P. Rajatheva,
       “An investigation of peak to average power
       ratio in MC-CDMA combined with partial
       transmit sequence”, IEEE VTC 2001 –
       spring. vol.1, pp. 761 – 765, Rhodes, May.
       2001.
[12]   Lilin Dan; Oingsong Wen; Yue Xiao and
       Shaoqian Li, “A Novel User Grouping
       Scheme for PAPR Reduction in MC-
       CDMA System”, Vehicular Technology
       Conference, pp 994-998, 2007
[13]   C. Tellambura, “ Computation of the
       continuous-time PAR of an OFDM signal
       with BPSK subcarriers”, IEEE commn. Let.
       Vol.5, no.4, pp 135-137, 2001




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Gq2411921196

  • 1. Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue4, July-August 2012, pp.1192-1196 PAPR Reduction of an MC-CDMA System through PTS Technique using Suboptimal Combination Algorithm Gagandeep Kaur1, Rajbir Kaur2 1 Student , University College of Engineering, Punjabi University, Patiala, India Assistant Professor2, University College of Engineering, Punjabi University, Patiala, India ABSTRACT Multicarrier Code Division Multiple groups: signal distortion techniques, signal Access is the most promising technique for high scrambling techniques and coding techniques. speed data transmission. However, the MC- Signal distortion schemes reduce the amplitude by CDMA signals are characterized by large peak to linearly distorting the MC-CDMA signal at or average power ratios (PAPR), which can reduce around the peaks. This includes techniques like the system efficiency. In this paper PAPR clipping, peak windowing, and peak cancellation reduction of an MC-CDMA system using PTS [1], [5]. It is the simplest technique but it causes in- technique is investigated by using suboptimal band and out-band distortion. Scrambling scheme is combination algorithm, which uses binary phase based on scrambling each MC-CDMA signal with factors, for BPSK and QPSK modulation large PAPR. It includes techniques such as Selected techniques at different number of active users. Mapping (SLM), and Partial Transmit Sequence The results show that BPSK is a more effective (PTS). In case of PTS technique [7-8], MC-CDMA modulation scheme for PAPR reduction in MC- sequences are partitioned into sub-blocks and each CDMA system. sub-block is multiplied by phase weighting factor to produce alternative sequences with low PAPR. Keywords: MC-CDMA, PAPR, Partial Transmit However large number of phase weighting factors Sequence, Complementary Cumulative Distribution increases the hardware complexity and makes the Function. whole system vulnerable to the effect of phase noise. The SLM technique [9-16] pseudorandomly 1. INTRODUCTION modifies the phases of the original information The multicarrier transmission has been symbols in each MC-CDMA block several times considered as an attractive technique that offers the and selects the phase modulated MC-CDMA with desired high data rates for the 4G mobile best PAPR performance for transmission. environment. It also has advantages for spectral In this paper we have investigated PAPR efficiency and low cost implementation. reduction on partial transmit sequence (PTS) Multicarrier code division multiple access technique method using suboptimal combination algorithm (MC-CDMA) is a combination of CDMA scheme which uses binary phase factors. and OFDM signaling is the most promising candidate for the next generation of wireless 2. SYSTEM DESCRIPTION communication for achieving high data rates. In 2.1 MC-CDMA system addition it provides an efficient method for The transmitter model of downlink MC- frequency diversity, overcoming the inter-symbol CDMA system is shown in fig.1. The block of M interference (ISI) in frequency selective Rayleigh complex valued symbol, d ( k )  [d1( k ) , d2k ) ,..., d M ) ] of ( (k fading environment by using guard interval. [1]- [3] th the k user is firstly serial –paralleled into a M- However, MC-CDMA has some major length vector as d  [d1 , d 2 ,..., d M ] , (k ) (k ) (k ) (k ) T drawbacks to implement it in practical k=1,2,…,K. After this serial to parallel conversion, telecommunication systems. One of them is that each symbol is frequency domain spread by a user MC-CDMA signal suffers a high Peak to Average Power Ratio (PAPR). A high PAPR easily makes spreading code c( k )  [c1( k ) , c2k ) ,..., cLk ) ] , where L ( ( signal peaks to move into the non-linear region of denotes length of the spreading code. As spreading the RF power amplifier which causes signal sequences, orthogonal sets of sequences are distortion. A large PAPR increases the complexity preferred for reducing low multiuser interference. of the analog-to-digital and digital-to-analog Walsh-Hadamard (WH) sequences are used as converters and reduces the efficiency of RF power spreading sequences in this procedure. The input of amplifier. K users is summed up and is interleaved in Therefore it is desirable that transmitted frequency domain as K signal possess reduced peaks and in order to achieve this there are several PAPR reduction techniques. X  X k 1 (k )  [X 0 , X1 ,..., X N 1 ]T to obtain the These techniques are divided into three diversity effects by placing the chip symbol elements that corresponds to same symbol on 1192 | P a g e
  • 2. Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue4, July-August 2012, pp.1192-1196 subcarrier that are distance M apart. After frequency The CCDF of the PAPR of the data block interleaving the symbol elements are fed into IFFT is desired is our case to compare various reduction block of size N  M  L for OFDM operation. The techniques. This is given by [4]: resultant baseband signal for one MC-CDMA symbol is represented as P( PAPR   )  1  P( PAPR   )  1  F ( ) N K M L  dmk ) cl(k ) e j 2 (M (l 1)(m1))t / NT 1 s(t )  ( (1)  1  (1  exp( )) N (4) N k 1 m 1 l 1 When calculating the PAPR, we have to consider the actual time domain signal that is in analog form. The IFFT outputs, which are symbol spaced sampling values, will miss some of the signal peaks. Therefore, if we calculate PAPR by using these sample values, then the calculated PAPR is less than the actual PAPR [9]. This is an optimistic result and will not illustrate the real situation. However, they are enough for signal reconstruction. To account for this issue, oversampling is performed by low pass filtering the IFFT signal and then sampled at higher rate. Now, the increased samples Figure 1: MC-CDMA transmitter are close to the real analog signal and calculation of PAPR based on these sample will give a better 2.2 PAPR and Cumulative Distribution Function estimated PAPR. Although MC-CDMA is a powerful multiple access technique but it is not problem free. MC-CDMA signal has large peak to average ratio 3. PARTIAL TRANSMIT SEQUENCE (PAPR) .MC-CDMA consist of large number of (PTS) METHOD independently modulated sub carriers where N This method is based on phase shifting of modulated subcarriers are added with same phase, sub-blocks of data and multiplication of data then peak power is N times the power of MC- structure by random vectors. The main purpose CDMA signal.High PAPR values cause a serious behind this method is that the input data frame is problem to linear power amplifier (PA) used at divided into non-overlapping sub-blocks and each transmitter. sub-blocks is phase shifted by constant factor to The PAPR of the MC-CDMA symbol is reduce PAPR [9]. In the PTS technique, an input defined as ratio of the peak power and the average data block of N symbols is partitioned into disjoint power of a multicarrier signal: sub-bocks. The subcarriers in each sub-block are weighted by phase factor for that sub-block. The max  s (t )  2 phase factors are selected such that the PAPR of the p peak     combined signal is minimized. There are three PAPR   10 log10 different kinds of sub-block partitioning schemes on E  s (t ) paverage 2     which the performance of PTS technique depends: adjacent, interleaved, and pseudorandom. [10-12] (2) where ppeak represents output peak power, paverage means output average power.   denotes the expected value. The cumulative distribution function (CDF) is one of the most regularly used parameters, which is used to measure the efficiency on any PAPR technique. Normally, the Complementary CDF (CCDF) is used instead of CDF, which helps us to measure the probability that the PAPR of a Figure 2: Block diagram of conventional PTS certain data block exceeds the given threshold [5]. scheme The CDF of the amplitude of a sample signal is In the conventional PTS scheme in MC- given by CDMA, before applied to IFFT operation, X, i.e., the sum of all active user sequences after spreading F ( )  1  exp( ) (3) and frequency interleaving is input to PTS model as shown in figure 2. [12] 1193 | P a g e
  • 3. Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue4, July-August 2012, pp.1192-1196 The data block, Xn , n=0,1,…,N-1 is defined as 4. SIMULATIONS vector, X  [ X 0, X 1,...., XN  1]T . Then partition X into In this section the performance MC-CDMA V disjoint sets, represented by vectors X(v) , system is evaluated using SLM. Table I above v=1,2,…,V such that shows the simulation parameters. If we oversample V a transmitted signal by a factor of four, the discrete X  X v 1 (v) (5) PAPR is almost the same as continuous PAPR [13]. Thus we oversample the transmitted signal by a The objective of PTS approach is to form factor of four in IFFT process. weighted combination of V clusters, each of equal size. TABLE I V SIMULATION PARAMETERS S b v 1 (v ) X (V ) (6) Spreading codes Walsh where b(v) , v=1,2,…,V are weighting factors or Hadamard phase factors and are assumed to be pure rotations. Modulation process BPSK, QPSK After transferring in time domain equation (6) Processing Gain (L) 16 becomes Number of data symbols per an 8 V MC-CDMA symbol (M) s(t )   b( v ) x (V ) (7) Number of sub-carriers (N) 128 v 1 Number of active users (K) 8,16 The vector x(v) called partial transmit sequence is Number of phase sequences (U) 4,8 and 16 the IFFT of X(V). The weighting factors are chosen to Oversampling factor 4 minimize the PAPR by searching for the appropriate combination of each cluster and by corresponding The performance metric utilized in weighting clusters. evaluating PAPR reduction scheme is CCDF of the   b (1) , b (2) ,..., b (V )   b (1),b (2),...,b (V )  0max1  b(v) xn(v)  V PAPR of transmitted continuous time signal. The arg min   m N v 1  resulting CCDF curves are presented for 1,000 input symbol sequences for different number of phase sequences (V=2, 4, 8) when considered number of (8) active users to be equal to 8and 16. The phase The combination with weighting factors is called sequences used are binary phase sequences {1,-1}, rotation factor or combining sequence. Optimized which are constructed by suboptimal combination transmit sequence is V algorithm. The system consists of 128 subcarriers s (t )   b ( v ) xmv )   ( (9) with modulation schemes used to be BPSK and v 1 QPSK. The results are compared with the original In suboptimal combination algorithm, we MC-CDMA signal. consider binary (i.e.,  1) weighting factors. After dividing the input data block into V clusters, form the VN-point PTS’s. As first step, assume that bv  1 for all v and compute the PAPR for the combined signal (7). Next, invert the first has factor  b1  1 and recomputed the resulting PAPR. If the new PAPR is lower than the previous step, retain b1 as a part of final phase sequence; otherwise, b1 reverts to its previous value. The algorithm continues in this fashion until all V possibilities for “flipping” the signs have been explored. This algorithm can be summarized as : 1. Partion the input data block into V subsets as in equation (5). 2. Set all the phase factors bv for v=1:V, find PAPR of equation (7), and set it as PAPR_min. 3. Set the v=2. Figure 3: CCDF of PAPR of BPSK modulated MC- 4. Find PAPR of equation (7) with bv = -1. CDMA using PTS scheme for various values of V 5. If PAPR>PAPR_min, switch bv back to 1. with K =8 Otherwise, update PAPR_min=PAPR. 6. If v<V, increment v by 1 and go back to step 4. Fig. 3 shows the CCDF curves of an BPSK Otherwise, exit this process with the set of modulated MC-CDMA system with PTS technique  for 8 users (K=8). In figure 3, at CCDF=10-3, the optimal phase factors, b . PAPR is reduced by 1dB, 2dB, 4.2dB for values of 1194 | P a g e
  • 4. Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue4, July-August 2012, pp.1192-1196 V=4,8 and 16 respectively when compared with the original MC-CDMA signal. Figure 6: CCDF of PAPR of QPSK modulated MC- CDMA using PTS scheme for various values of V with K =16 Figure 4: CCDF of PAPR of QPSK modulated MC- Fig. 6 shows the CCDF curves of a QPSK CDMA using PTS scheme for various values of V modulated MC-CDMA system with PTS technique with K=8 for 16 users (K=16). In figure 6, at CCDF=10-3, the PAPR is reduced by 1dB, 1.4dB, 1.9dB for values of Fig. 4 shows the CCDF curves of a QPSK V=4,8 and 16 respectively when compared with the modulated MC-CDMA system with PTS technique original MC-CDMA signal. for 8 users (K=8). In figure 4, at CCDF=10-3, the PAPR is reduced by 0.3dB, 1.4dB, 4.3dB for values of V=4,8 and 16 respectively when compared with 5. CONCLUSION the original MC-CDMA signal. In this paper we examined the effect of PTS to reduce PAPR of MC-CDMA for different modulation schemes. The binary phase sequences considered in this paper are generated with the help of suboptimal combination algorithm. From the computer simulation, the results obviously shows that PAPR reduction performance depends upon various number of phase sequence factors (V) and it significantly improves with increase in number of V for any number of active users and the modulation technique. PAPR performance is also compared for different modulation schemes (QPSK and BPSK) and simultaneously for different number of users. The results show that higher PAPR reduction performance is achieved when BPSK is used as a modulation technique than QPSK for same number of active users. The results showed that PTS is more effective when BPSK is used as modulation scheme. Figure 5: CCDF of PAPR of BPSK modulated MC- From the graphs it can also be concluded that PAPR CDMA using PTS scheme for various values of V reduction performance increases with increase in with K =16 number of active users. Fig. 5 shows the CCDF curves of a BPSK ACKNOWLEDGMENT modulated MC-CDMA system with PTS technique We are grateful to the University College for 16 users (K=16). In figure 5, at CCDF=10-3, the of Engineering, Punjabi University, Patiala for PAPR is reduced by 1.2dB, 2.1dB, 2.5dB for values providing necessary support and infrastructure of V=4,8 and 16 respectively when compared with the original MC-CDMA signal. REFERENCES [1] R. van Nee and R. Prasad, OFDM for Wireless Multimedia Communications, Artech House, 2000. 1195 | P a g e
  • 5. Gagandeep Kaur, Rajbir Kaur / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 2, Issue4, July-August 2012, pp.1192-1196 [2] R. Prasad, “OFDM for Wireless Communications Systems”, Artech House, 2004. [3] S. Hara and R. Prasad, “Overview of Multicarrier CDMA”, IEEE Commun. Mag., vol. 35, no. 12, pp. 126 – 133, Dec. 1997. [4] Wang Yi Gu linfeng “An Investigation of Peak-to-Average Power Reduction in MIMO-OFDM Systems”, Blekinge Institute of Technology, October 2009. [5] Md. Abdullah Al Baki and Mohammad Zavid Parvez, “Peak to Average Power Ratio (PAPR) Reduction in OFDM Based Radio Systems” Blekinge Institute of Technology, May 2010. [6] X. Li and L. J. Cimini Jr., “Effects of clipping and filtering on the performance of OFDM”, IEEE Commun. Lett. vol. 2, no. 5, pp. 131 – 133, May. 1998. [7] Schmidt, H. and Kammeyer, K.-D., “Reducing the peak to average power ratio of multicarrier signals by adaptive subcarrier selection”, Universal Personal Communications, 1998. ICUPC '98. IEEE 1998 International Conference on, Volume: 2, Page(s): 933 -937 vol.2, 1998. [8] K.W. Bauml, R.F.H. Fischer and J.B. Huber, “Reducing the peak to- average power ratio of multicarrier modulation by selected mapping”, Electron. Lett. vol. 32, no. 22, pp. 2056-2057, Oct. 1996. [9] C. Tellambura, “A coding technique for reducing peak-to-average power ratio in OFDM”, IEEE Transaction on Communications, Vol.47, No.6, pp 918- 926, June 1999. [10] S.H. Muller and J.B. Huber, “OFDM with reduced peak-to-average power ratio by optimum combination of Partial Transmit Sequence”, Elect. Let.,vol.33, no.5, pp 368- 369, Feb. 1997 [11] N. Ruangsurat and R. M. A. P. Rajatheva, “An investigation of peak to average power ratio in MC-CDMA combined with partial transmit sequence”, IEEE VTC 2001 – spring. vol.1, pp. 761 – 765, Rhodes, May. 2001. [12] Lilin Dan; Oingsong Wen; Yue Xiao and Shaoqian Li, “A Novel User Grouping Scheme for PAPR Reduction in MC- CDMA System”, Vehicular Technology Conference, pp 994-998, 2007 [13] C. Tellambura, “ Computation of the continuous-time PAR of an OFDM signal with BPSK subcarriers”, IEEE commn. Let. Vol.5, no.4, pp 135-137, 2001 1196 | P a g e