A Particle Swarm Optimization Based Multiuser Detector for DS-CDMA Communication Systems

Abstract

This study presents a novel multiuser detector for DS-CDMA systems, based on a particle swarm optimization (PSO) algorithm. The investigation demonstrates that the proposed detector can compromise the global and local exploration abilities and perform a near optimal multiuser detection. Simulation results reveal that the proposed algorithm outperforms GA-based multiuser detection schemes, and can attain a near-optimal performance.

Reducing the Peak to Average Power Ratio of MIMO-OFDM Systems

“…This resulted in a near optimal performance [4]. The PSO algorithm was used in electromagnetic to design CPW-fed planar monopole antenna with an optimal multiband operation, which is suitable for use in the personal communication systems and 2.4/5.2 GHz wireless local-area network (WLAN) applications.…”

Joint multiuser and inter-symbol interference suppression in CDMA systems using particle swarm optimization algorithms

“…Particles accelerate toward those with better fitness values. In [5], [6] PSO algorithm is applied to solve the MUD problems in CDMA systems in order to reduce the computational complexity. In [7] Binary PSO (BPSO) was applied to solve the MUD problems in the CDMA system.…”

Performance of particle swarm optimization techniques on papr reduction for OFDM systems

“…In contrast to traditional computation systems which may be good at accurate and exact computation, but have brittle operations, evolutionary computation provides a more robust and efficient approach for solving complex real world problem. Many evolutionary algorithms, such as Genetic algorithm (GA) [14][15], ant colony optimization (ACO) [16], simulated annealing (SA) [17] and particle swarm optimization (PSO) [18][19][20][21][22][23], have been proposed. GA is stochastic search procedures based on the mechanics of natural selection, genetics, and evolution.…”