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The International Journal Of Engineering And Science (IJES)
|| Volume || 5 || Issue || 4 || Pages || PP -76-80 || 2016 ||
ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805
www.theijes.com The IJES Page 76
Low Peak to Average Power Ratio and High Spectral Efficiency
Using Selective Mapping for Of Dm System
Marie Jenifer .D, Anagha T.R, Aravindraj .E, Nethra. L
Department Of Wireless Communication, Rajiv Gandhi College of Engineering and Technology, Pondicherry
University, India.
----------------------------------------------------------ABSTRACT-----------------------------------------------------------
A low complexity peak to average power ratio (PAPR) reduction scheme for orthogonal frequency division
multiplexing (OFDM) systems is proposed. All pass filters technique used PAPR is reduction but small amount
of reduction, So use Selective Mapping (SLM) technique reduce PAPR and SNR increases.
Keywords: Selective Mapping (SLM), Peak To Average Power Ratio (PAPR), Orthogonal Frequency Division
Multiplexing (OFDM).
-------------------------------------------------------------------------------------------------------------------------------------
Date of Submission: 07 April 2016 Date of Accepted: 25 April 2016
-------------------------------------------------------------------------------------------------------------------------------------
I. INTRODUCTION
Orthogonal frequency division multiplexing (OFDM) is multicarrier modulation technique, used in nearly all
new a popular wireless communication standards. OFDM transforms a frequency selective channel into large
number of parallel flat fading channels. Inter carrier interference (ICI) can be mitigated by preserving the
orthogonality between these parallel sub-channels. Inter carrier interference (ICI) can be mitigated by preserving
the orthogonality between these parallel sub-channels.
One of the severe drawbacks with OFDM systems, however, is the high peak-to-average power ratio (PAPR) of
transmitted signals. The high PAPR introduces intermodulation distortion and undesired out-of-band radiation
due to the nonlinearity of the high power amplifier (HPA). The distortion and radiation cause degradation of the
bit error rate (BER) and high adjacent channel interference, respectively.
To reduce the PAPR of an OFDM signal to date, various schemes attempting to reduce the PAPR have appeared
in the literature. The more common schemes include clipping and filtering , block coding , tone reservation and
injection, nonlinear companding transform schemes, a partial transmit sequence (PTS) scheme and selected
mapping (SLM) schemes. Of these schemes, the SLM scheme has been considered the most attractive one due
to its high PAPR reduction performance without incurring additional signal distortion. However the SLM
scheme has a disadvantage of high computational complexity due to its requirement of multiple inverse fast
Fourier transform (IFFT) modules.
The computational complexity of the SLM scheme becomes critical when a large number of subcarriers on the
order of thousand are used for multimedia transmission, e.g., Digital TV broadcasting in Europe, Japan, and
other regions. In this paper, a PAPR reduction scheme adopting all-pass filters instead of IFFT modules is
proposed to significantly reduce the computational complexity when a large number of subcarriers such as 2048
subcarriers are used for OFDM systems. The proposed scheme produces alternative OFDM sequences by
rotating the symbol phase using multiple all-pass filters, whereas the phase rotation of conventional SLM
schemes is performed with multiple complex multiplication modules with IFFT modules. Analysis results show
that the proposed PAPR reduction scheme can significantly decrease computational complexity over the SLM
scheme.
The remainder of this paper is organized as follows. In Section II, a All Pass Filter scheme is described. In
Section III, a new PAPR reduction scheme is proposed and its computational complexity is compared with that
of the conventional SLM scheme. In Section IV, simulation results are given in order to compare the PAPR
reduction performance of the proposed scheme with the conventional SLM scheme. Finally, conclusions are
given in Section V.
Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective …
www.theijes.com The IJES Page 77
II. ALL PASS FILTER
An all-pass filter is a signal processing filter that passes all frequencies equally in gain, but changes
the phase relationship between various frequencies. It does this by varying its phase shift as a function of
frequency. Generally, the filter is described by the frequency at which the phase shift crosses 90° (i.e., when the
input and output signals go into quadrature – when there is a quarter wavelength of delay between them).
They are generally used to compensate for other undesired phase shifts that arise in the system, or for
mixing with an unshifted version of the original to implement a notch comb.They may also be used to convert
a mixed phase filter into a minimum phase filter with an equivalent magnitude response or an unstable filter into
a stable filter with an equivalent magnitude response.This implementation uses a high-pass filter at the non-
inverting input to generate the phase shift and negative feedback to compensate for the filter's attenuation.
 At high frequencies, the capacitor is a short circuit, thereby creating a unity-gain voltage buffer (i.e., no
phase shift).
 At low frequencies and DC, the capacitor is an open circuit and the circuit is an inverting amplifier (i.e.,
180 degree phase shift) with unity gain.
 At the corner frequency ω=1/RC of the high-pass filter (i.e., when input frequency is 1/(2πRC)), the circuit
introduces a 90 degree shift (i.e., output is in quadrature with input; it is delayed by a quarter wavelength).
In fact, the phase shift of the all-pass filter is double the phase shift of the high-pass filter at its non-inverting
input.
Fig.1. All Pass Filter
III. SELECTIVE MAPPING
The SLM technique was first described by Bauml et al. In the SLM, from a number of copies that represent the
same in-formation, one with lowest PAPR is chosen for transmission. X is the OFDM data block, is the phase
vectors and is the modified data vectors in the frequency domain. where u= 1,2…U ,and N is length of X, also
the number of sub-carriers. Among the modified data blocks, the one with the lowest PAPR is selected for
transmission.
The amount of PAPR reduction for SLM depends on the number of phase sequences U and the design of the
phase sequences. After modulating the vectors to N sub-carriers separately, each OFDM frame represents the
same information. Then all D frames are trans-formed in to the time-domain using the IFFT and the one with the
lowest PAPR is selected for transmission. The block diagram of OFDM transmitter with SLM .
To recover the data exactly, the receiver has to know which vectors of the D vectors is used .therefore it is
necessary to transmit the number D of the vector as side in-formation to the receiver. As a result of selecting the
sequence to transmit after IFFT, SLM technique needs D IFFT operations for each OFDM frame. It makes the
system complicated. In addition, it’s a difficulty in SLM that how to transmit side information.
Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective …
www.theijes.com The IJES Page 78
Fig. 2. Selective Mapping
IV. SIMULATION RESULTS
4.1 All Pass Filter Using PAPR
2 4 6 8 10 12 14
10
-3
10
-2
10
-1
10
0
PAPR0 [dB]
(Pr[PAPR>PAPR0])
ALL PASS FILTER
Original
APF U=2
Fig .3. All Pass Filter Using PAPR
OFDM major problem is Peak to average power ratio. PAPR is high interference occur in signal. All
Pass Filter technique used in Peak to Average Power Ratio is reduced signal. Original signal is 10.2db. All Pass
Filter identify length ’U’. We used in even value length in signal. X axis used in peak to average power ratio and
y axis used in CCDF (Complementary Cumulative Distribution Function). All Pass Filter is 2.PAPR reduced in
6.2db.
Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective …
www.theijes.com The IJES Page 79
4.2 Selective Mapping Using PAPR
0 1 2 3 4 5 6 7 8 9 10
10
-3
10
-2
10
-1
10
0
PAPR REDUCTION USING SLM
papr0(dB)
Pr(PAPR>PAPR0)
Orignal
SLM U=2´
Fig .4.Selective Mapping Using PAPR
Selective mapping technique used in peak to average power ratio reduced. Selective mapping identify length
’U’. We used in even value length in signal. X axis used in peak to average power ratio and y axis used in
CCDF (Complementary Cumulative Distribution Function).Original signal is 10db. Selective mapping length is
2. PAPR reduced in 5db.
4.3 SNR Value for All Pass Filter
0 5 10 15 20 25
10
-3
10
-2
10
-1
10
0
SNR in dB
BitErrorRate
Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective …
www.theijes.com The IJES Page 80
1.4 SNR Value for Selective Mapping
0 5 10 15 20 25 30
10
-4
10
-3
10
-2
10
-1
10
0
BER vs SNR
SNR
BER
V. CONCLUSIONS
A new PAPR reduction scheme for OFDM systems was proposed in this paper. It was found that with simple
the proposed SLM scheme could significantly reduce the computational complexity, at the cost of slightly worse
PAPR reduction performance over the all-pass filters scheme, without BER performance degradation.
REFERENCES
[1]. X. Li and L. J. Cimini, Jr., “Effects of clipping and filtering on the performanceof OFDM,” IEEE Commun. Lett., vol. 2, no. 5,
pp. 131–133,May 1998.
[2]. S. B. Slimane, “Reducing the peak-to-average power ratio of OFDMsignals through precoding,” IEEE Trans. Veh. Technol., vol.
56, no. 2,pp. 686–695, Mar. 2007.
[3]. B. S. Krongold and D. L. Jones, “An active-set approach for OFDMPAR reduction via tone reservation,” IEEE Trans. Signal
Process., vol.52, no. 2, pp. 495–509, Feb. 2004.
[4]. S. H. Han, J. M. Cioffi, and J. H. Lee, “Tone injection with hexagonalconstellation for peak-to-average power ratio reduction in
OFDM,”IEEE Commun. Lett., vol. 10, no. 9, pp. 646–648, Sep. 2006.
[5]. T. Jiang, W. B. Yao, P. Guo, and D. M. Qu, “Two novel nonlinearcompanding schemes with iterative receiver to reduce PAPR in
multicarriermodulation systems,” IEEE Trans. Broadcast., vol. 52, no. 2,pp. 268–273, Jun. 2006.
[6]. T. T. Nguyen and L. Lampe, “On partial transmit sequence for PARreduction in OFDM systems,” IEEE Trans. Wireless
Commun., vol. 7,no. 2, pp. 746–755, Feb. 2008.
[7]. R. W. Bäuml, R. F. H. Fischer, and J. B. Huber, “Reducing the peak-toaveragepower ratio of multicarrier modulation by selected
mapping,”IEE Electron. Lett., vol. 32, no. 22, pp. 2056–2057, Oct. 1996.
[8]. D. Lim, J. No, C. Lim, and H. Chung, “A new SLM OFDM schemewith low complexity for PAPR reduction,” IEEE Signal
Process. Lett.,vol. 12, no. 2, pp. 93–96, Dec. 2005.
[9]. L. Yang, K. K. Soo, Y. M. Siu, and S. Q. Li, “A low complexity selectedmapping scheme by use of time domain sequence
superpositiontechnique for PAPR reduction in OFDM system,” IEEE Trans. Broadcast.,vol. 54, no. 4, pp. 821–824, Dec. 2008.
[10]. S. Heo, H. Noh, and D. Shin, “A modified SLM scheme with low complexityfor PAPR reduction of OFDM systems,” IEEE
Trans. Broadcast.,vol. 53, no. 4, pp. 804–808, Dec. 2007.
[11]. A. V. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time SignalProcessing. Upper Saddle River, New Jersey: Prentice
Hall, 1999.

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Low PAPR and high spectral efficiency OFDM using selective mapping

  • 1. The International Journal Of Engineering And Science (IJES) || Volume || 5 || Issue || 4 || Pages || PP -76-80 || 2016 || ISSN (e): 2319 – 1813 ISSN (p): 2319 – 1805 www.theijes.com The IJES Page 76 Low Peak to Average Power Ratio and High Spectral Efficiency Using Selective Mapping for Of Dm System Marie Jenifer .D, Anagha T.R, Aravindraj .E, Nethra. L Department Of Wireless Communication, Rajiv Gandhi College of Engineering and Technology, Pondicherry University, India. ----------------------------------------------------------ABSTRACT----------------------------------------------------------- A low complexity peak to average power ratio (PAPR) reduction scheme for orthogonal frequency division multiplexing (OFDM) systems is proposed. All pass filters technique used PAPR is reduction but small amount of reduction, So use Selective Mapping (SLM) technique reduce PAPR and SNR increases. Keywords: Selective Mapping (SLM), Peak To Average Power Ratio (PAPR), Orthogonal Frequency Division Multiplexing (OFDM). ------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 07 April 2016 Date of Accepted: 25 April 2016 ------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION Orthogonal frequency division multiplexing (OFDM) is multicarrier modulation technique, used in nearly all new a popular wireless communication standards. OFDM transforms a frequency selective channel into large number of parallel flat fading channels. Inter carrier interference (ICI) can be mitigated by preserving the orthogonality between these parallel sub-channels. Inter carrier interference (ICI) can be mitigated by preserving the orthogonality between these parallel sub-channels. One of the severe drawbacks with OFDM systems, however, is the high peak-to-average power ratio (PAPR) of transmitted signals. The high PAPR introduces intermodulation distortion and undesired out-of-band radiation due to the nonlinearity of the high power amplifier (HPA). The distortion and radiation cause degradation of the bit error rate (BER) and high adjacent channel interference, respectively. To reduce the PAPR of an OFDM signal to date, various schemes attempting to reduce the PAPR have appeared in the literature. The more common schemes include clipping and filtering , block coding , tone reservation and injection, nonlinear companding transform schemes, a partial transmit sequence (PTS) scheme and selected mapping (SLM) schemes. Of these schemes, the SLM scheme has been considered the most attractive one due to its high PAPR reduction performance without incurring additional signal distortion. However the SLM scheme has a disadvantage of high computational complexity due to its requirement of multiple inverse fast Fourier transform (IFFT) modules. The computational complexity of the SLM scheme becomes critical when a large number of subcarriers on the order of thousand are used for multimedia transmission, e.g., Digital TV broadcasting in Europe, Japan, and other regions. In this paper, a PAPR reduction scheme adopting all-pass filters instead of IFFT modules is proposed to significantly reduce the computational complexity when a large number of subcarriers such as 2048 subcarriers are used for OFDM systems. The proposed scheme produces alternative OFDM sequences by rotating the symbol phase using multiple all-pass filters, whereas the phase rotation of conventional SLM schemes is performed with multiple complex multiplication modules with IFFT modules. Analysis results show that the proposed PAPR reduction scheme can significantly decrease computational complexity over the SLM scheme. The remainder of this paper is organized as follows. In Section II, a All Pass Filter scheme is described. In Section III, a new PAPR reduction scheme is proposed and its computational complexity is compared with that of the conventional SLM scheme. In Section IV, simulation results are given in order to compare the PAPR reduction performance of the proposed scheme with the conventional SLM scheme. Finally, conclusions are given in Section V.
  • 2. Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective … www.theijes.com The IJES Page 77 II. ALL PASS FILTER An all-pass filter is a signal processing filter that passes all frequencies equally in gain, but changes the phase relationship between various frequencies. It does this by varying its phase shift as a function of frequency. Generally, the filter is described by the frequency at which the phase shift crosses 90° (i.e., when the input and output signals go into quadrature – when there is a quarter wavelength of delay between them). They are generally used to compensate for other undesired phase shifts that arise in the system, or for mixing with an unshifted version of the original to implement a notch comb.They may also be used to convert a mixed phase filter into a minimum phase filter with an equivalent magnitude response or an unstable filter into a stable filter with an equivalent magnitude response.This implementation uses a high-pass filter at the non- inverting input to generate the phase shift and negative feedback to compensate for the filter's attenuation.  At high frequencies, the capacitor is a short circuit, thereby creating a unity-gain voltage buffer (i.e., no phase shift).  At low frequencies and DC, the capacitor is an open circuit and the circuit is an inverting amplifier (i.e., 180 degree phase shift) with unity gain.  At the corner frequency ω=1/RC of the high-pass filter (i.e., when input frequency is 1/(2πRC)), the circuit introduces a 90 degree shift (i.e., output is in quadrature with input; it is delayed by a quarter wavelength). In fact, the phase shift of the all-pass filter is double the phase shift of the high-pass filter at its non-inverting input. Fig.1. All Pass Filter III. SELECTIVE MAPPING The SLM technique was first described by Bauml et al. In the SLM, from a number of copies that represent the same in-formation, one with lowest PAPR is chosen for transmission. X is the OFDM data block, is the phase vectors and is the modified data vectors in the frequency domain. where u= 1,2…U ,and N is length of X, also the number of sub-carriers. Among the modified data blocks, the one with the lowest PAPR is selected for transmission. The amount of PAPR reduction for SLM depends on the number of phase sequences U and the design of the phase sequences. After modulating the vectors to N sub-carriers separately, each OFDM frame represents the same information. Then all D frames are trans-formed in to the time-domain using the IFFT and the one with the lowest PAPR is selected for transmission. The block diagram of OFDM transmitter with SLM . To recover the data exactly, the receiver has to know which vectors of the D vectors is used .therefore it is necessary to transmit the number D of the vector as side in-formation to the receiver. As a result of selecting the sequence to transmit after IFFT, SLM technique needs D IFFT operations for each OFDM frame. It makes the system complicated. In addition, it’s a difficulty in SLM that how to transmit side information.
  • 3. Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective … www.theijes.com The IJES Page 78 Fig. 2. Selective Mapping IV. SIMULATION RESULTS 4.1 All Pass Filter Using PAPR 2 4 6 8 10 12 14 10 -3 10 -2 10 -1 10 0 PAPR0 [dB] (Pr[PAPR>PAPR0]) ALL PASS FILTER Original APF U=2 Fig .3. All Pass Filter Using PAPR OFDM major problem is Peak to average power ratio. PAPR is high interference occur in signal. All Pass Filter technique used in Peak to Average Power Ratio is reduced signal. Original signal is 10.2db. All Pass Filter identify length ’U’. We used in even value length in signal. X axis used in peak to average power ratio and y axis used in CCDF (Complementary Cumulative Distribution Function). All Pass Filter is 2.PAPR reduced in 6.2db.
  • 4. Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective … www.theijes.com The IJES Page 79 4.2 Selective Mapping Using PAPR 0 1 2 3 4 5 6 7 8 9 10 10 -3 10 -2 10 -1 10 0 PAPR REDUCTION USING SLM papr0(dB) Pr(PAPR>PAPR0) Orignal SLM U=2´ Fig .4.Selective Mapping Using PAPR Selective mapping technique used in peak to average power ratio reduced. Selective mapping identify length ’U’. We used in even value length in signal. X axis used in peak to average power ratio and y axis used in CCDF (Complementary Cumulative Distribution Function).Original signal is 10db. Selective mapping length is 2. PAPR reduced in 5db. 4.3 SNR Value for All Pass Filter 0 5 10 15 20 25 10 -3 10 -2 10 -1 10 0 SNR in dB BitErrorRate
  • 5. Low Peak To Average Power Ratio And High Spectral Efficiency Using Selective … www.theijes.com The IJES Page 80 1.4 SNR Value for Selective Mapping 0 5 10 15 20 25 30 10 -4 10 -3 10 -2 10 -1 10 0 BER vs SNR SNR BER V. CONCLUSIONS A new PAPR reduction scheme for OFDM systems was proposed in this paper. It was found that with simple the proposed SLM scheme could significantly reduce the computational complexity, at the cost of slightly worse PAPR reduction performance over the all-pass filters scheme, without BER performance degradation. REFERENCES [1]. X. Li and L. J. Cimini, Jr., “Effects of clipping and filtering on the performanceof OFDM,” IEEE Commun. Lett., vol. 2, no. 5, pp. 131–133,May 1998. [2]. S. B. Slimane, “Reducing the peak-to-average power ratio of OFDMsignals through precoding,” IEEE Trans. Veh. Technol., vol. 56, no. 2,pp. 686–695, Mar. 2007. [3]. B. S. Krongold and D. L. Jones, “An active-set approach for OFDMPAR reduction via tone reservation,” IEEE Trans. Signal Process., vol.52, no. 2, pp. 495–509, Feb. 2004. [4]. S. H. Han, J. M. Cioffi, and J. H. Lee, “Tone injection with hexagonalconstellation for peak-to-average power ratio reduction in OFDM,”IEEE Commun. Lett., vol. 10, no. 9, pp. 646–648, Sep. 2006. [5]. T. Jiang, W. B. Yao, P. Guo, and D. M. Qu, “Two novel nonlinearcompanding schemes with iterative receiver to reduce PAPR in multicarriermodulation systems,” IEEE Trans. Broadcast., vol. 52, no. 2,pp. 268–273, Jun. 2006. [6]. T. T. Nguyen and L. Lampe, “On partial transmit sequence for PARreduction in OFDM systems,” IEEE Trans. Wireless Commun., vol. 7,no. 2, pp. 746–755, Feb. 2008. [7]. R. W. Bäuml, R. F. H. Fischer, and J. B. Huber, “Reducing the peak-toaveragepower ratio of multicarrier modulation by selected mapping,”IEE Electron. Lett., vol. 32, no. 22, pp. 2056–2057, Oct. 1996. [8]. D. Lim, J. No, C. Lim, and H. Chung, “A new SLM OFDM schemewith low complexity for PAPR reduction,” IEEE Signal Process. Lett.,vol. 12, no. 2, pp. 93–96, Dec. 2005. [9]. L. Yang, K. K. Soo, Y. M. Siu, and S. Q. Li, “A low complexity selectedmapping scheme by use of time domain sequence superpositiontechnique for PAPR reduction in OFDM system,” IEEE Trans. Broadcast.,vol. 54, no. 4, pp. 821–824, Dec. 2008. [10]. S. Heo, H. Noh, and D. Shin, “A modified SLM scheme with low complexityfor PAPR reduction of OFDM systems,” IEEE Trans. Broadcast.,vol. 53, no. 4, pp. 804–808, Dec. 2007. [11]. A. V. Oppenheim, R. W. Schafer, and J. R. Buck, Discrete-Time SignalProcessing. Upper Saddle River, New Jersey: Prentice Hall, 1999.