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

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3 Author(s)
Xiang Wu ; Sch. of Electr., Univ. of Newcastle upon Tyne, UK ; Sharif, B.S. ; Hinton, O.R.

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.

Published in:

Evolutionary Computation, IEEE Transactions on  (Volume:9 ,  Issue: 1 )

Date of Publication:

Feb. 2005

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