EURASIP Journal on Wireless Communications and Networking 
Volume 2008 (2008), Article ID 601346, 8 pages
doi:10.1155/2008/601346
Research Article

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

Jyh-Horng Wen,1 Shu-Hong Lee,2 Yung-Fa Huang,3 and Ho-Lung Hung4

 1Department of Electrical Engineering, Tunghai University, Taichung 40704, Taiwan
2Department of Electrical Engineering, National Chung Cheng University, 168 University Road, Mig-Hsiung, Chia-Yi 621, Taiwan
3Graduate Institute of Networking Communication Engineering, Chaoyang University of Technology, 168, Jifong E. Road, Wufong Township, Taichung City 41349, Taiwan
4Department of Electrical Engineering, Chienkuo Technology University, Changhua City, 50094, Taiwan
Received 1 January 2008; Revised 30 April 2008; Accepted 27 May 2008

Recommended by Yuh-Shyan Chen

Abstract

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.