Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm

Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm

Two main problem of multi-user communication system are the Multiple Access Interference (MAI) and the near-far effects. While near-far effect problem can be approach by applying power control, the MAI problem requires individual receiver to identify desired signal from interferences thus making mul...

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Main Authors: Ahmad, Azmi, Ali, Borhanuddin M., Khatun, Sabira, Hassan, Azmi
Format: Conference or Workshop Item
Language:English
Published: IEEE 2005
Subjects:
QA75 Electronic computers. Computer science
T10.5 Communication of technical information
Online Access:http://irep.iium.edu.my/37308/
http://irep.iium.edu.my/37308/
http://irep.iium.edu.my/37308/
http://irep.iium.edu.my/37308/1/01635519.pdf
id iium-37308
recordtype eprints
spelling iium-373082014-07-11T07:20:25Z http://irep.iium.edu.my/37308/ Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm Ahmad, Azmi Ali, Borhanuddin M. Khatun, Sabira Hassan, Azmi QA75 Electronic computers. Computer science T10.5 Communication of technical information Two main problem of multi-user communication system are the Multiple Access Interference (MAI) and the near-far effects. While near-far effect problem can be approach by applying power control, the MAI problem requires individual receiver to identify desired signal from interferences thus making multi-user detector a popular area of research. Genetic Algorithms (GA) is a search and optimizes technique that works by estimating multiple solutions in order to come with the best estimated solution. GA works iteratively over a population of solution using crossover and mutation to simulate potential solution. In this paper we examine the performance of a micro-Genetic Algorithm-based multi-user detector. Our simulation shows that μGA achieves a performance close to optimal detector. IEEE 2005-11-18 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/37308/1/01635519.pdf Ahmad, Azmi and Ali, Borhanuddin M. and Khatun, Sabira and Hassan, Azmi (2005) Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm. In: 2005 13th International Conference on Networks, 2005, jointly held with the 2005 7th Malaysian International Conference on Communication, 16-18 Nov. 2005, Berjaya Times Square Hotel and Convention Center, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1635519&tag=1 DOI: 10.1109/ICON.2005.1635519
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
T10.5 Communication of technical information
spellingShingle QA75 Electronic computers. Computer science
T10.5 Communication of technical information
Ahmad, Azmi
Ali, Borhanuddin M.
Khatun, Sabira
Hassan, Azmi
Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
description Two main problem of multi-user communication system are the Multiple Access Interference (MAI) and the near-far effects. While near-far effect problem can be approach by applying power control, the MAI problem requires individual receiver to identify desired signal from interferences thus making multi-user detector a popular area of research. Genetic Algorithms (GA) is a search and optimizes technique that works by estimating multiple solutions in order to come with the best estimated solution. GA works iteratively over a population of solution using crossover and mutation to simulate potential solution. In this paper we examine the performance of a micro-Genetic Algorithm-based multi-user detector. Our simulation shows that μGA achieves a performance close to optimal detector.
format Conference or Workshop Item
author Ahmad, Azmi
Ali, Borhanuddin M.
Khatun, Sabira
Hassan, Azmi
author_facet Ahmad, Azmi
Ali, Borhanuddin M.
Khatun, Sabira
Hassan, Azmi
author_sort Ahmad, Azmi
title Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
title_short Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
title_full Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
title_fullStr Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
title_full_unstemmed Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm
title_sort performance evaluation of multi-user detection in cdma using micro-genetic algorithm
publisher IEEE
publishDate 2005
url http://irep.iium.edu.my/37308/
http://irep.iium.edu.my/37308/
http://irep.iium.edu.my/37308/
http://irep.iium.edu.my/37308/1/01635519.pdf
first_indexed 2023-09-18T20:53:31Z
last_indexed 2023-09-18T20:53:31Z
_version_ 1777410152176025600

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