Open Access

A Suboptimal PTS Algorithm Based on Particle Swarm Optimization Technique for PAPR Reduction in OFDM Systems

EURASIP Journal on Wireless Communications and Networking20082008:601346

DOI: 10.1155/2008/601346

Received: 1 January 2008

Accepted: 27 May 2008

Published: 25 June 2008


A suboptimal partial transmit sequence (PTS) based on particle swarm optimization (PSO) algorithm is presented for the low computation complexity and the reduction of the peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM) system. In general, PTS technique can improve the PAPR statistics of an OFDM system. However, it will come with an exhaustive search over all combinations of allowed phase weighting factors and the search complexity increasing exponentially with the number of subblocks. In this paper, we work around potentially computational intractability; the proposed PSO scheme exploits heuristics to search the optimal combination of phase factors with low complexity. Simulation results show that the new technique can effectively reduce the computation complexity and PAPR reduction.

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Authors’ Affiliations

Department of Electrical Engineering, Tunghai University
Department of Electrical Engineering, National Chung Cheng University
Graduate Institute of Networking Communication Engineering, Chaoyang University of Technology
Department of Electrical Engineering, Chienkuo Technology University


© Jyh-HorngWen et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.