Title: A low complexity enhanced squirrel search algorithm for reduction of peak to average power ratio in OFDM systems

Authors: R. Anil Kumar

Addresses: Aditya College of Engineering and Technology, Surampalem, Andhra Pradesh, India

Abstract: Future wireless networks: smarter, faster, and more efficient; user equipment gains features for diverse applications and demands. OFDM is widely used in Wi-Fi, WiMAX, and LTE for spectrum efficiency but can degrade power amplifier performance due to high peak amplitudes, affecting BER. PTS reduces OFDM PAPR but adds computational complexity due to the search for optimal phase factors. In this article, we combined PTS with the proposed novel enhanced squirrel search algorithm (ESSA) to obtain an optimum random phase sequence matrix (RPSM). This scheme reduces the PAPR, reduces the computational complexity (CC) of the OFDM system, and provides a faster convergence rate. This paper presents the closed-form mathematical expressions of PAPR, computational complexity, and input and output backoffs of the power amplifier. Performance validation includes PAPR and BER for various subcarriers, subblock sizes, and trade-off factors in the system. MATLAB simulated results compared proposed PAPR reduction scheme with various existing schemes for OFDM systems.

Keywords: bit error rate; BER; enhanced squirrel search algorithm; ESSA; orthogonal frequency division multiplexing; OFDM; PAPR; partial transmit sequence; PTS; random phase sequence matrix; RPSM.

DOI: 10.1504/IJCNDS.2024.140675

International Journal of Communication Networks and Distributed Systems, 2024 Vol.30 No.5, pp.594 - 616

Received: 01 Jun 2023
Accepted: 20 Aug 2023
Published online: 30 Aug 2024 *

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