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

  • Jyh-Horng Wen
  • Shu-Hong Lee
  • Yung-Fa Huang
  • Ho-Lung Hung
Open Access
Research Article
Part of the following topical collections:
  1. Intelligent Systems for Future Generation Wireless Networks

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.

Keywords

Particle Swarm Optimization Orthogonal Frequency Division Multiplex Exhaustive Search Computation Complexity Orthogonal Frequency Division Multiplex System 

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Copyright information

© 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.

Authors and Affiliations

  • Jyh-Horng Wen
    • 1
  • Shu-Hong Lee
    • 2
  • Yung-Fa Huang
    • 3
  • Ho-Lung Hung
    • 4
  1. 1.Department of Electrical EngineeringTunghai UniversityTaichungTaiwan
  2. 2.Department of Electrical EngineeringNational Chung Cheng UniversityMig-Hsiung, Chia-YiTaiwan
  3. 3.Graduate Institute of Networking Communication EngineeringChaoyang University of TechnologyWufong Township, Taichung CityTaiwan
  4. 4.Department of Electrical EngineeringChienkuo Technology UniversityChanghua CityTaiwan

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