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Title: Adaptive resource allocation for SDMA-OFDMA systems with genetic algorithm
Authors: Özbek, Berna
Le Ruyet, Didier
Keywords: Adaptive algorithms
Convergence time
Initial conditions
OFDMA systems
Cellular telephone systems
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Özbek, B., and Le Ruyet, D. (2008, September 7-10). Adaptive resource allocation for SDMA-OFDMA systems with genetic algorithm. Paper presented at the 2009 6th International Symposium on Wireless Communication Systems, ISWCS'09. doi:10.1109/ISWCS.2009.5285288
Abstract: In this paper, we propose an adaptive resource allocation algorithm to maximize the sum data rate for spatial division multiplexing access (SDMA) orthogonal division multiple access (OFDMA) systems using genetic algorithm. We perform Zero forcing (ZF) beamforming at the transmitter constructing single and multiple beams for OFDMA systems with multiple transmit antennas. In order to reduce the complexity and convergence time of genetic algorithm (GA), we present an initial condition obtained by allocating the user to the subcarrier with maximum precoding gain. The proposed algorithm reduces the complexity without sacrificing the performance. We obtain the simulation results and compare them with the classical static and adaptive allocation methods. We show that the GA with the proposed initial condition increases the sum data rate compared to classical GA and reduces the convergence time significantly for SDMA-OFDMA systems.
Description: 6th International Symposium on Wireless Communication Systems, ISWCS'09; Tuscany; Italy; 7 September 2009 through 10 September 2009
ISBN: 9781424435845
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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