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An improved resource allocation scheme for plane cover multiple access using genetic algorithm

Lookup NU author(s): Professor Bayan Sharif, Emeritus Professor Oliver Hinton



An improved resource allocation scheme is proposed in this paper which uses genetic algorithms (GAs) in conjunction with the recently developed plane cover multiple-access (PCMA) scheme in order to maximize the attainable capacity of packet-based wireless cellular networks. The studied problem has been proven to be in the class of nondeterministic polynomial (NP)-hard problem, therefore, the powerful search capability of the GA is a key factor in improving the performance of cellular resource allocation. Computer simulation results suggest that the proposed approach outperforms the "uniform" and the "greedy" algorithm-based "min" methods in terms of the number of serviced users. © 2005 IEEE.

Publication metadata

Author(s): Wu X, Sharif BS, Hinton OR

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Evolutionary Computation

Year: 2005

Volume: 9

Issue: 1

Pages: 74-81

Print publication date: 01/02/2005

Date deposited: 09/12/2010

ISSN (print): 1089-778X

ISSN (electronic): 1941-0026

Publisher: IEEE


DOI: 10.1109/TEVC.2004.838662


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