Title: Hybrid genetic algorithm in partial transmit sequence to improve OFDM

Authors: P. Ravi Kumar; P.V. Naganjaneyulu; K. Satya Prasad

Addresses: Department of ECE, JNTU Kakkinada, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India ' Sri Mittapalli College of Engineering, Tummalapalem, Guntur, Andrapradesh, India ' Vignan's Foundation for Science, Technology and Research, Guntur – Tenali Rd, Vadlamudi, Andhra Pradesh 522213, India

Abstract: The work takes into consideration use of partial transmit sequence (PTS) for the diminution of a peak to average power ratio (PAPR) of the orthogonal frequency division multiplexing (OFDM) signal. The conventional scheme of the PTS uses random search to explore the combinations of the phase vectors to improve PAPR, but this elevates the complexity of the search and also exponentially increase the number of phase vectors which leads high computational cost and compromise in accuracy. Here, a suboptimal algorithm used for the phase optimisation which is an enhanced version of the genetic algorithm (GA) is applied for exploring optimal combination of the phase vectors providing an enhanced performance when compared with the existing algorithms like the particle swarm optimisation (PSO) or the bacterial foraging optimisation (BFO). The simulation results proved that the hybrid GA-PSO and the GA-BFO based PTS was able to attain reasonable reduction in the PAPR.

Keywords: orthogonal frequency division multiplexing; OFDM; partial transmit sequence; PTS; peak to average power ratio; PAPR; genetic algorithm; GA; particle swarm optimisation; PSO; bacterial foraging optimisation; BFO.

DOI: 10.1504/IJISTA.2020.110010

International Journal of Intelligent Systems Technologies and Applications, 2020 Vol.19 No.4, pp.362 - 376

Received: 15 Jan 2019
Accepted: 22 Apr 2019
Published online: 01 Oct 2020 *

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