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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IEEE
2005
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/37308/ http://irep.iium.edu.my/37308/1/01635519.pdf |
| _version_ | 1848781389986529280 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:48:48Z |
| format | Proceeding Paper |
| id | iium-37308 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:48:48Z |
| publishDate | 2005 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science T10.5 Communication of technical information |
| 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 |