Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system

Genetic algorithms (GAs) are powerful search techniques that are used successfully to solve problems in many different disciplines. One application would be in WCDMA adaptive beam forming technique. Adaptive antenna has dynamic beam to cater for users' needs and provides better capacity for mob...

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Main Authors: Krishnan, P.S., Kiong, T.S., Koh, J., Yap, D.
Format: Conference Paper
Language:en_US
Published: 2017
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Institution: Universiti Tenaga Nasional
Language: en_US
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spelling my.uniten.dspace-60062018-01-08T07:11:44Z Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system Krishnan, P.S. Kiong, T.S. Koh, J. Yap, D. Genetic algorithms (GAs) are powerful search techniques that are used successfully to solve problems in many different disciplines. One application would be in WCDMA adaptive beam forming technique. Adaptive antenna has dynamic beam to cater for users' needs and provides better capacity for mobile communication but requires more intelligent and advance beam forming algorithm such as genetic algorithm. Compared to Standard GAs, Parallel Distributed GAs promise substantial gain in terms of convergence performance. In this paper, an embedded parallel and distributed genetic algorithm (EPDGA) with dynamic parameter setting on a multiprocessor system is proposed. The proposed scheme applies a master-slave architecture where the total active unit equipments (UE) are distributed to subpopulations (slaves) that evolve separately and exchange individuals occasionally. The power usage at Node B is used as fitness function to compare the performance of EPDGA and standard GA. Simulation results show that EPDGA converges faster and is better in adaptive antenna beam forming in the aspect of power usage at Node B as compared to standard GA. © 2008 IEEE. 2017-12-08T07:49:47Z 2017-12-08T07:49:47Z 2008 Conference Paper 10.1109/NCTT.2008.4814302 en_US Proceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008
institution Universiti Tenaga Nasional
building UNITEN Library
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continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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language en_US
description Genetic algorithms (GAs) are powerful search techniques that are used successfully to solve problems in many different disciplines. One application would be in WCDMA adaptive beam forming technique. Adaptive antenna has dynamic beam to cater for users' needs and provides better capacity for mobile communication but requires more intelligent and advance beam forming algorithm such as genetic algorithm. Compared to Standard GAs, Parallel Distributed GAs promise substantial gain in terms of convergence performance. In this paper, an embedded parallel and distributed genetic algorithm (EPDGA) with dynamic parameter setting on a multiprocessor system is proposed. The proposed scheme applies a master-slave architecture where the total active unit equipments (UE) are distributed to subpopulations (slaves) that evolve separately and exchange individuals occasionally. The power usage at Node B is used as fitness function to compare the performance of EPDGA and standard GA. Simulation results show that EPDGA converges faster and is better in adaptive antenna beam forming in the aspect of power usage at Node B as compared to standard GA. © 2008 IEEE.
format Conference Paper
author Krishnan, P.S.
Kiong, T.S.
Koh, J.
Yap, D.
spellingShingle Krishnan, P.S.
Kiong, T.S.
Koh, J.
Yap, D.
Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
author_facet Krishnan, P.S.
Kiong, T.S.
Koh, J.
Yap, D.
author_sort Krishnan, P.S.
title Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
title_short Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
title_full Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
title_fullStr Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
title_full_unstemmed Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
title_sort embedded parallel distributed artificial intelligent processors for adaptive beam forming in wcdma system
publishDate 2017
_version_ 1644493820959653888