Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system
In this paper, a modified Genetic Algorithm named as Dynamic Characterized Genetic Algorithm (DCGA) is proposed. The new DCGA is then integrated into adaptive beam forming technique to reduce the power usage of adaptive antenna at WCDMA base station (Node B) for serving instantaneous mobile needs. A...
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iium-373072015-01-05T06:16:01Z http://irep.iium.edu.my/37307/ Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system Tiong, Sieh Keong Ismail, Mahamod Hassan, Azmi QA75 Electronic computers. Computer science T10.5 Communication of technical information In this paper, a modified Genetic Algorithm named as Dynamic Characterized Genetic Algorithm (DCGA) is proposed. The new DCGA is then integrated into adaptive beam forming technique to reduce the power usage of adaptive antenna at WCDMA base station (Node B) for serving instantaneous mobile needs. As contradict to conventional GA, DCGA is able to adapt itself in chromosome representation and number of crossover points in order to reduce unnecessary searching space and thus, increase convergence rate efficiently. Power usage at Node B is used as fitness function to compare the performance of DCGA and GA. Simulation result has shown that DCGA converges faster and is superior in adaptive beam forming in the aspect of power usage at Node B as compared to conventional GA IEEE 2005-11-18 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/37307/1/01635472.pdf Tiong, Sieh Keong and Ismail, Mahamod and Hassan, Azmi (2005) Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system. In: 2005 13th International Conference on Networks, 2005, jointly held with the 2005 7th Malaysian International Conference on Communication, 16-18 Nov. 2005, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1635472&tag=1 DOI: 10.1109/ICON.2005.1635472 |
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QA75 Electronic computers. Computer science T10.5 Communication of technical information |
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QA75 Electronic computers. Computer science T10.5 Communication of technical information Tiong, Sieh Keong Ismail, Mahamod Hassan, Azmi Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system |
description |
In this paper, a modified Genetic Algorithm named as Dynamic Characterized Genetic Algorithm (DCGA) is proposed. The new DCGA is then integrated into adaptive beam forming technique to reduce the power usage of adaptive antenna at WCDMA base station (Node B) for serving instantaneous mobile needs. As contradict to conventional GA, DCGA is able to adapt itself in chromosome representation and number of crossover points in order to reduce unnecessary searching space and thus, increase convergence rate efficiently. Power usage at Node B is used as fitness function to compare the performance of DCGA and GA. Simulation result has shown that DCGA converges faster and is superior in adaptive beam forming in the aspect of power usage at Node B as compared to conventional GA |
format |
Conference or Workshop Item |
author |
Tiong, Sieh Keong Ismail, Mahamod Hassan, Azmi |
author_facet |
Tiong, Sieh Keong Ismail, Mahamod Hassan, Azmi |
author_sort |
Tiong, Sieh Keong |
title |
Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system |
title_short |
Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system |
title_full |
Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system |
title_fullStr |
Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system |
title_full_unstemmed |
Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system |
title_sort |
dynamic characterized genetic algorithm for adaptive beam forming in wcdma system |
publisher |
IEEE |
publishDate |
2005 |
url |
http://irep.iium.edu.my/37307/ http://irep.iium.edu.my/37307/ http://irep.iium.edu.my/37307/ http://irep.iium.edu.my/37307/1/01635472.pdf |
first_indexed |
2023-09-18T20:53:31Z |
last_indexed |
2023-09-18T20:53:31Z |
_version_ |
1777410152031322112 |