Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Suboptimal PTS Algorithm Based on Particle Swarm Optimization Technique for PAPR Reduction in OFDM Systems | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2008 Article ID 601346 8 pages doi 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 1 Department of Electrical Engineering Tunghai University Taichung 40704 Taiwan 2 Department of Electrical Engineering National Chung Cheng University 168 University Road Mig-Hsiung Chia-Yi 621 Taiwan 3 Graduate Institute of Networking Communication Engineering Chaoyang University of Technology 168 JifongE. Road Wufong Township Taichung City 41349 Taiwan 4 Department of Electrical Engineering Chienkuo Technology University Changhua City 50094 Taiwan Correspondence should be addressed to Ho-Lung Hung hlh@ Received 1 January 2008 Revised 30 April 2008 Accepted 27 May 2008 Recommended by Yuh-Shyan Chen 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. Copyright 2008 Jyh-Horng Wen et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided .
