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Performance of GA and PSO aided SDMA/OFDM Over-Loaded System in a Near-Realistic Fading Environment
Wireless Engineering and Technology
In this work, two popular evolutionary algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) based SDMA-OFDM multi user detection (MUD) have been presented which overcome the limitations of classical detectors. They are simple to implement and their complexity in terms of decision-metric evaluations is very less compared to maximum likelihood detection (MLD). These techniques are shown to provide a high performance as compared to the other detectors especially in adoi:10.4236/wet.2012.34031 fatcat:6oodwjq4bvbbveckd5cwctdlzm