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Multiuser Detection Using the Particle Swarm Optimization Algorithm
Liu Cheng,Xiao Yang * #
Beijing Jiaotong University
*Correspondence author
#Submitted by
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Funding: 国家自然科学基金（No.60572093）
Opened online:20 January 2006
Accepted by: none
Citation: Liu Cheng,Xiao Yang.Multiuser Detection Using the Particle Swarm Optimization Algorithm[OL]. [20 January 2006] http://en.paper.edu.cn/en_releasepaper/content/5081
 
 
Genetic Algorithm (GA) has proven to be a useful method of optimization for multidimensional engineering problems. A new method named Particle Swarm Optimization (PSO) has been proposed by Kennedy and Eberhart and it is similar in some ways to GA or Evolutionary Programming (EP). In this paper, we apply PSO to solve the Multiuser Detection (MUD) problems in the DS-CDMA system, which reduces the computational complexity by providing faster convergence. The simulation results show that the proposed detections benefit greatly from the PSO and have significant performance improvements over Conventional Detector (CD) and previous multiuser detectors based on GA and EP in terms of bit-error-rate and convergence rate.
Keywords:wireless communication, multiuser detection algorithm, particle swarm optimization
 
 
 

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