Genetic algorithm based optimal resource allocation for plane cover multiple access scheme

Xiang Wu; Bayan S. Sharif; Oliver R. Hinton

Genetic algorithm based optimal resource allocation for plane cover multiple access scheme

Xiang Wu, Bayan S. Sharif, Oliver R. Hinton

Electrical Engineering

Newcastle University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An optimal resource allocation scheme is proposed in this paper which uses Genetic Algorithm (GA) 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 powerful search capability of GA is a key factor in improving the performance of cellular resource allocation, and computer simulation results suggest that the proposed approach outperforms the 'uniform' and the 'Greedy' algorithm based 'min' methods.

Original language	British English
Title of host publication	2004 International Conference on Communications, Circuits and Systems
Pages	1113-1117
Number of pages	5
State	Published - 2004
Event	2004 International Conference on Communications, Circuits and Systems - Chengdu, China Duration: 27 Jun 2004 → 29 Jun 2004

Publication series

Name	2004 International Conference on Communications, Circuits and Systems
Volume	2

Conference

Conference	2004 International Conference on Communications, Circuits and Systems
Country/Territory	China
City	Chengdu
Period	27/06/04 → 29/06/04

Keywords

'min' Algorithm
GA
GoS
Greedy
PCMA

Cite this

@inproceedings{fd8720ab8e16404a91cbe2923db7b48b,

title = "Genetic algorithm based optimal resource allocation for plane cover multiple access scheme",

abstract = "An optimal resource allocation scheme is proposed in this paper which uses Genetic Algorithm (GA) 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 powerful search capability of GA is a key factor in improving the performance of cellular resource allocation, and computer simulation results suggest that the proposed approach outperforms the 'uniform' and the 'Greedy' algorithm based 'min' methods.",

keywords = "'min' Algorithm, GA, GoS, Greedy, PCMA",

author = "Xiang Wu and Sharif, {Bayan S.} and Hinton, {Oliver R.}",

year = "2004",

language = "British English",

isbn = "0780386477",

series = "2004 International Conference on Communications, Circuits and Systems",

pages = "1113--1117",

booktitle = "2004 International Conference on Communications, Circuits and Systems",

note = "2004 International Conference on Communications, Circuits and Systems ; Conference date: 27-06-2004 Through 29-06-2004",

}

Wu, X, Sharif, BS & Hinton, OR 2004, Genetic algorithm based optimal resource allocation for plane cover multiple access scheme. in 2004 International Conference on Communications, Circuits and Systems. 2004 International Conference on Communications, Circuits and Systems, vol. 2, pp. 1113-1117, 2004 International Conference on Communications, Circuits and Systems, Chengdu, China, 27/06/04.

Genetic algorithm based optimal resource allocation for plane cover multiple access scheme. / Wu, Xiang; Sharif, Bayan S.; Hinton, Oliver R.
2004 International Conference on Communications, Circuits and Systems. 2004. p. 1113-1117 (2004 International Conference on Communications, Circuits and Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Genetic algorithm based optimal resource allocation for plane cover multiple access scheme

AU - Wu, Xiang

AU - Sharif, Bayan S.

AU - Hinton, Oliver R.

PY - 2004

Y1 - 2004

N2 - An optimal resource allocation scheme is proposed in this paper which uses Genetic Algorithm (GA) 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 powerful search capability of GA is a key factor in improving the performance of cellular resource allocation, and computer simulation results suggest that the proposed approach outperforms the 'uniform' and the 'Greedy' algorithm based 'min' methods.

AB - An optimal resource allocation scheme is proposed in this paper which uses Genetic Algorithm (GA) 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 powerful search capability of GA is a key factor in improving the performance of cellular resource allocation, and computer simulation results suggest that the proposed approach outperforms the 'uniform' and the 'Greedy' algorithm based 'min' methods.

KW - 'min' Algorithm

KW - GA

KW - GoS

KW - Greedy

KW - PCMA

UR - http://www.scopus.com/inward/record.url?scp=11244309558&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:11244309558

SN - 0780386477

SN - 9780780386471

T3 - 2004 International Conference on Communications, Circuits and Systems

SP - 1113

EP - 1117

BT - 2004 International Conference on Communications, Circuits and Systems

T2 - 2004 International Conference on Communications, Circuits and Systems

Y2 - 27 June 2004 through 29 June 2004

ER -

Genetic algorithm based optimal resource allocation for plane cover multiple access scheme

Abstract

Publication series

Conference

Keywords

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