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Performance Analysis of Evolutionary Algorithm for PAPR Reduction in OFDM System

Prabhneet Kaur*, Mangal Singh**

* PG Scholar, Department of Electronics and Telecommunication Engineering, Chhatrapati Shivaji Institute of Technology, Durg, India.

** Associate Professor, Department of Electronics and Telecommunication Engineering, Chhatrapati Shivaji Institute of Technology, Durg, India.

Periodicity:April - June'2016
DOI : https://doi.org/10.26634/jwcn.5.1.6020

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a wireless transmission technique in which the digital data are transmitted in a radio environment at a very high speed. But one of the major drawbacks of OFDM system is, high peak to average power ratio which demands costly linear amplifiers with wide dynamic range. In this paper, less-complexity based partial transmit sequence technique is used for reducing the PAPR of OFDM system. PTS techniques can improve the PAPR statistics of an OFDM signals, but the computational complexity is a potential problem for the implementation in practical systems. Inorder to reduce this computational complexity, an optimization algorithm can be used. This paper shows the comparison between two population-based stochastic search techniques which is widely used in many scientific and engineering fields. Here, the Differential Evolutionary (DE) algorithm is compared with the Genetic Algorithm (GA).

Keywords

OFDM (Orthogonal Frequency Division Multiplexing), PAPR (Peak-to-Average Power) Ratio, PTS (Partial Transmit Sequence), GA (Genetic Algorithm), CCDF (Complementary Cumulative Distribution Function), DE (Differential Evolutionary).

How to Cite this Article?

Kaur, P., and Singh, M. (2016). Performance Analysis of Evolutionary Algorithm for PAPR Reduction in OFDM System. i-manager's Journal on Wireless Communication Networks, 5(1), 16-22. https://doi.org/10.26634/jwcn.5.1.6020

References

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