A suboptimal PTS algorithm based on particle swarm optimization technique for PAPR reduction in OFDM systems

Authors:
Jyh-Horng Wen;Shu-Hong Lee;Yung-Fa Huang;Ho-Lung Hung
Affiliations:
Department of Electrical Engineering, Tunghai University, Taichung, Taiwan;Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan;Graduate Institute of Networking Communication Engineering, Chaoyang University of Technology, Taichung City, Taiwan;Department of Electrical Engineering, Chienkuo Technology University, Changhua City, Taiwan
Venue:
EURASIP Journal on Wireless Communications and Networking - Intelligent Systems for Future Generation Wireless Networks
Year:
2008

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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.