Optimised base-station location algorithm for next generation microcellular networks

Araceli Molina; AR Nix; GE Athanasiadou

doi:10.1049/el:20000515

Optimised base-station location algorithm for next generation microcellular networks

Araceli Molina, AR Nix, GE Athanasiadou

Communication Systems and Networks

Research output: Contribution to journal › Article (Academic Journal) › peer-review

21 Citations (Scopus)

Abstract

To support the seamless upgrading of current cellular networks and to fulfil the requirements of third generation systems, an optimised base-station location algorithm, referred to as the combination algorithm for total-optimisation (CAT), is presented. Results show that the CAT approach is well suited to constrained optimisation, providing results that are equal to, and often better than, those obtained using more established methods such as the genetic algorithm

Original language	English
Pages (from-to)	668 - 669
Journal	Electronics Letters
Volume	36
Issue number	7
DOIs	https://doi.org/10.1049/el:20000515
Publication status	Published - Mar 2000

Bibliographical note

Sponsorship: The authors would like to thank Nortel Networks, Harlow, UK and Orange PLC, for their financial support. The authors would alos like to thank D.Kithener for his usseful help and encouragement during the development of this research

Publisher: Institution of Electrical Engineers (IEE)

Keywords

telecommunication network planning
optimisation
microcellular radio

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abstract = "To support the seamless upgrading of current cellular networks and to fulfil the requirements of third generation systems, an optimised base-station location algorithm, referred to as the combination algorithm for total-optimisation (CAT), is presented. Results show that the CAT approach is well suited to constrained optimisation, providing results that are equal to, and often better than, those obtained using more established methods such as the genetic algorithm",

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AU - Molina, Araceli

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AU - Athanasiadou, GE

N1 - Sponsorship: The authors would like to thank Nortel Networks, Harlow, UK and Orange PLC, for their financial support. The authors would alos like to thank D.Kithener for his usseful help and encouragement during the development of this research Publisher: Institution of Electrical Engineers (IEE)

PY - 2000/3

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N2 - To support the seamless upgrading of current cellular networks and to fulfil the requirements of third generation systems, an optimised base-station location algorithm, referred to as the combination algorithm for total-optimisation (CAT), is presented. Results show that the CAT approach is well suited to constrained optimisation, providing results that are equal to, and often better than, those obtained using more established methods such as the genetic algorithm

AB - To support the seamless upgrading of current cellular networks and to fulfil the requirements of third generation systems, an optimised base-station location algorithm, referred to as the combination algorithm for total-optimisation (CAT), is presented. Results show that the CAT approach is well suited to constrained optimisation, providing results that are equal to, and often better than, those obtained using more established methods such as the genetic algorithm

KW - telecommunication network planning

KW - optimisation

KW - microcellular radio

U2 - 10.1049/el:20000515

DO - 10.1049/el:20000515

M3 - Article (Academic Journal)

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JF - Electronics Letters

IS - 7

ER -

Optimised base-station location algorithm for next generation microcellular networks

Abstract

Bibliographical note

Keywords

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