Performance of GA and PSO aided SDMA/OFDM Over-Loaded System in a Near-Realistic Fading Environment

Autor:	K. V. Shahnaz, C. K. Ali
Rok vydání:	2012
Předmět:	Engineering Minimum mean square error Orthogonal frequency-division multiplexing business.industry Evolutionary algorithm Particle swarm optimization law.invention Base station law Genetic algorithm Electronic engineering Wi-Fi Fading business
Zdroj:	Wireless Engineering and Technology. :214-220
ISSN:	2152-2308 2152-2294
Popis:	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 a rank-deficient scenario where numbers of users are high as compared to the base station (BS) antennas. In this scenario, Zero forcing (ZF) and minimum mean square error (MMSE) based MUDs exhibit severe performance degradation. To investigate almost realistic performance of a wireless communication system, it is important to use a proper channel model. Since the simulation parameters in this work are based on IEEE 802.11n wireless local area network (WLAN) standard, TGn is the channel model used.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1ee952f68678b1bae594c60442eef238 https://doi.org/10.4236/wet.2012.34031 Zobrazit plný text záznamu