Multiobjective Resource Optimization in Mobile Communication Network

T. M. CHAN; S. KWONG; K. F. MAN

doi:10.1109/IECON.2003.1280555

Multiobjective Resource Optimization in Mobile Communication Network

T. M. CHAN, S. KWONG, K. F. MAN

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

1 Citation (Scopus)

Abstract

In this paper, we study the resource management problem in Direct Sequence - Wideband Code Division Multiple Access (DS-WCDMA) systems of mobile communication network. The transmission power and transmission rate control, in resource management are to be optimized while without violating the Quality of Service. Both single objective approach and multiobjective genetic algorithms have been investigated. Not only comparison has been conducted between the two cases, but their performance has also been compared with other currently available searching techniques.

Original language	English
Title of host publication	The 29fh Annual Conference Of The IEEE Industrial Electronics Society
Publisher	IEEE
Pages	2029-2034
Number of pages	6
ISBN (Print)	0780379063
DOIs	https://doi.org/10.1109/IECON.2003.1280555
Publication status	Published - 2003
Externally published	Yes
Event	29th Annual Conference of the IEEE Industrial Electronics Society, 2003 - Hotel Roanoke and Conference Center, Roanoke, United States Duration: 2 Nov 2003 → 6 Nov 2003

Conference

Conference	29th Annual Conference of the IEEE Industrial Electronics Society, 2003
Abbreviated title	IECON'03
Country/Territory	United States
City	Roanoke
Period	2/11/03 → 6/11/03

Keywords

Generalized Reduced Gradient
Genetic Algorithms
Multimedia
Resource management
Simulated Annealing
Tabu Search
Wideband CDMA

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10.1109/IECON.2003.1280555

Cite this

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title = "Multiobjective Resource Optimization in Mobile Communication Network",

abstract = "In this paper, we study the resource management problem in Direct Sequence - Wideband Code Division Multiple Access (DS-WCDMA) systems of mobile communication network. The transmission power and transmission rate control, in resource management are to be optimized while without violating the Quality of Service. Both single objective approach and multiobjective genetic algorithms have been investigated. Not only comparison has been conducted between the two cases, but their performance has also been compared with other currently available searching techniques.",

keywords = "Generalized Reduced Gradient, Genetic Algorithms, Multimedia, Resource management, Simulated Annealing, Tabu Search, Wideband CDMA",

author = "CHAN, {T. M.} and S. KWONG and MAN, {K. F.}",

year = "2003",

doi = "10.1109/IECON.2003.1280555",

language = "English",

isbn = "0780379063",

pages = "2029--2034",

booktitle = "The 29fh Annual Conference Of The IEEE Industrial Electronics Society",

publisher = "IEEE",

note = "29th Annual Conference of the IEEE Industrial Electronics Society, 2003, IECON'03 ; Conference date: 02-11-2003 Through 06-11-2003",

}

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T1 - Multiobjective Resource Optimization in Mobile Communication Network

AU - CHAN, T. M.

AU - KWONG, S.

AU - MAN, K. F.

PY - 2003

Y1 - 2003

N2 - In this paper, we study the resource management problem in Direct Sequence - Wideband Code Division Multiple Access (DS-WCDMA) systems of mobile communication network. The transmission power and transmission rate control, in resource management are to be optimized while without violating the Quality of Service. Both single objective approach and multiobjective genetic algorithms have been investigated. Not only comparison has been conducted between the two cases, but their performance has also been compared with other currently available searching techniques.

AB - In this paper, we study the resource management problem in Direct Sequence - Wideband Code Division Multiple Access (DS-WCDMA) systems of mobile communication network. The transmission power and transmission rate control, in resource management are to be optimized while without violating the Quality of Service. Both single objective approach and multiobjective genetic algorithms have been investigated. Not only comparison has been conducted between the two cases, but their performance has also been compared with other currently available searching techniques.

KW - Generalized Reduced Gradient

KW - Genetic Algorithms

KW - Multimedia

KW - Resource management

KW - Simulated Annealing

KW - Tabu Search

KW - Wideband CDMA

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U2 - 10.1109/IECON.2003.1280555

DO - 10.1109/IECON.2003.1280555

M3 - Conference paper (refereed)

SN - 0780379063

SP - 2029

EP - 2034

BT - The 29fh Annual Conference Of The IEEE Industrial Electronics Society

PB - IEEE

T2 - 29th Annual Conference of the IEEE Industrial Electronics Society, 2003

Y2 - 2 November 2003 through 6 November 2003

ER -

Multiobjective Resource Optimization in Mobile Communication Network

Abstract

Conference

Keywords

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