ePrints

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

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

Downloads

• Published version [.pdf]

Abstract

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

URL: http://dx.doi.org/10.1109/TEVC.2004.838662

DOI: 10.1109/TEVC.2004.838662

Altmetrics

Share