PAPR Reduction using PTS-PSO technique for 16A16 MIMO-OFDM Systems with 16-QAM

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Jayati Das
Jayati Das
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Rajesh Bansode
Rajesh Bansode
α University of Mumbai University of Mumbai

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PAPR Reduction using PTS-PSO technique for 16A16 MIMO-OFDM Systems with 16-QAM

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Abstract

In this paper, it is proposed that a particle swarm optimization (PSO) based partial transmit sequence (PTS) technique is used so that least Peak-to-Average Power Ratio(PAPR) is achieved in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexin gsystems (MIMO-OFDM). Our approach is to apply PSO based PTS on each antenna of the system helping to find the optimal phase factors, which is a straightforward method to achieve minimum PAPR in this system. PSO based PTS algorithm when applied to MIMO-OFDM systems with a wide range of phase factors, results in high performance after simulation. The results PAPR achieved for 16X16 MIMO-OFDM systems without PTS using 16-QAM is 15.8dB whereas with PTS the PAPR achieved is 7.1 dB therefore overall reductions PAPR with and without PTS is 8.7 dB. Similarly PAPR achieved for 16X16 MIMO-OFDM systems without PTS-PSO using 16-QAM is 15.8 dB whereas with PTS-PSO the PAPR achieved is 3.6 dB therefore overall reductions PAPR with and without PTS is 12.2 dB. The final reduction in PAPR resulted as 8.7 dB and 12.2 dB respectively.

References

12 Cites in Article
  1. S Han,J Lee (2005). An overview of peak-to average power ratio reduction techniques for multicarrier transmission.
  2. A Mazin,G Crosby (2013). Reducing the Peak to Average Power Ratio of MIMO-OFDM systems.
  3. Jyh-Horng Wen,Shu-Hong Lee,Yung-Fa Huang,Ho-Lung Hung (2008). A Suboptimal PTS Algorithm Based on Particle Swarm Optimization Technique for PAPR Reduction in OFDM Systems.
  4. Ho-Lung Hung,Yung-Fa Huang,Cheng-Ming Yeh,Tan-Hsu Tan (2008). Performance of particle swarm optimization techniques on papr reduction for OFDM systems.
  5. O.-J Kwon,Y.-H Ha (2003). Multi-carrier pap reduction method using sub-optimal PTS with threshold.
  6. W. -C Liu (2005). Design of a multiband CPW-FED monopole antenna using a particle swarm optimization approach.
  7. M Clerc,J Kennedy (2002). The particle swarm - explosion, stability, and convergence in a multidimensional complex space.
  8. J Kennedy,R Eberhart (1995). Particle swarm optimization.
  9. Bolckei,Gesbert,Paulraj (2002). On the capacity of OFDM-based spatial multiplexing systems.
  10. G Stüber,J Barry,S W Mclaughlin,Y Li,M,Ann Ingram (2004). Broadband MIMO-OFDM Wireless Communications.
  11. N Hieu,S Kim,H Ryu (2005). PAPR Reduction of the low complexity phase weighting method in OFDM Communication system.
  12. P Mukunthan,P Dananjayan (2011). Modified PTS with FECs for PAPR reduction in MIMO-OFDM system with different subcarriers.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Jayati Das. 2016. \u201cPAPR Reduction using PTS-PSO technique for 16A16 MIMO-OFDM Systems with 16-QAM\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 15 (GJCST Volume 15 Issue E8): .

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Issue Cover
GJCST Volume 15 Issue E8
Pg. 34- 39
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
C.2.1
Version of record

v1.2

Issue date

January 25, 2016

Language
en
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Published Article

In this paper, it is proposed that a particle swarm optimization (PSO) based partial transmit sequence (PTS) technique is used so that least Peak-to-Average Power Ratio(PAPR) is achieved in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexin gsystems (MIMO-OFDM). Our approach is to apply PSO based PTS on each antenna of the system helping to find the optimal phase factors, which is a straightforward method to achieve minimum PAPR in this system. PSO based PTS algorithm when applied to MIMO-OFDM systems with a wide range of phase factors, results in high performance after simulation. The results PAPR achieved for 16X16 MIMO-OFDM systems without PTS using 16-QAM is 15.8dB whereas with PTS the PAPR achieved is 7.1 dB therefore overall reductions PAPR with and without PTS is 8.7 dB. Similarly PAPR achieved for 16X16 MIMO-OFDM systems without PTS-PSO using 16-QAM is 15.8 dB whereas with PTS-PSO the PAPR achieved is 3.6 dB therefore overall reductions PAPR with and without PTS is 12.2 dB. The final reduction in PAPR resulted as 8.7 dB and 12.2 dB respectively.

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PAPR Reduction using PTS-PSO technique for 16A16 MIMO-OFDM Systems with 16-QAM

Jayati Das
Jayati Das University of Mumbai
Rajesh Bansode
Rajesh Bansode

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