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

Jayati Das

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

Jayati Das * §

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§ Mumbai University

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

Reference Format

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

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GJCST Volume 15 Issue E8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

C.2.1

Submission ReceivedFebruary 7, 2015
Peer Review Double Blind
Handling Editor
Accepted March 1, 2015
Published March 15, 2015

Version of record

v1.2

Issue date

January 25, 2016

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Jayati Das, Rajesh Bansode (PhD/Dr. count: 0)

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