A micro-genetic algorithm-based CDMA multi-user detector

Mubarak M S Al-Sawafi; Joseph A. Jervase

doi:10.1109/DNSR.2004.1344726

A micro-genetic algorithm-based CDMA multi-user detector

Mubarak M S Al-Sawafi^*, Joseph A. Jervase

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

A new multi-user detection technique that utilizes only the micro genetic algorithm (μGA) is developed. In contrast to previous approaches, the micro-genetic algorithm is not hybridized with any detector other than a conventional detector (CD) or a decorrelator as an initial stage. The use of this algorithm considerably reduces the number of operations as well as the total cost of the proposed detector. A 5-user DS-CDMA system is adopted to examine the performance of the μGA detector. Using computer simulations, it is shown that the proposed μGA receiver achieves a performance close to the optimal detector as measured by the bit-error-rate (BER). This performance is achieved at a much lower computational time compared to the optimal detector. The potential of the μGA detector as a suboptimal DS-CDMA multi-user detector is thus demonstrated.

Original language	English
Title of host publication	Proceedings - Second Annual Conference on Communication Networks and Services Research
Editors	A.A Ghorbani
Pages	175-180
Number of pages	6
DOIs	https://doi.org/10.1109/DNSR.2004.1344726
Publication status	Published - 2004
Event	Proceedings - Second Annual Conference on Communication Networks and Services Research - Fredericton, NB, Canada Duration: May 19 2004 → May 21 2004

Other

Other	Proceedings - Second Annual Conference on Communication Networks and Services Research
Country	Canada
City	Fredericton, NB
Period	5/19/04 → 5/21/04

ASJC Scopus subject areas

Engineering(all)

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Al-Sawafi, MMS & Jervase, JA 2004, A micro-genetic algorithm-based CDMA multi-user detector. in AA Ghorbani (ed.), Proceedings - Second Annual Conference on Communication Networks and Services Research. pp. 175-180, Proceedings - Second Annual Conference on Communication Networks and Services Research, Fredericton, NB, Canada, 5/19/04. https://doi.org/10.1109/DNSR.2004.1344726

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title = "A micro-genetic algorithm-based CDMA multi-user detector",

abstract = "A new multi-user detection technique that utilizes only the micro genetic algorithm (μGA) is developed. In contrast to previous approaches, the micro-genetic algorithm is not hybridized with any detector other than a conventional detector (CD) or a decorrelator as an initial stage. The use of this algorithm considerably reduces the number of operations as well as the total cost of the proposed detector. A 5-user DS-CDMA system is adopted to examine the performance of the μGA detector. Using computer simulations, it is shown that the proposed μGA receiver achieves a performance close to the optimal detector as measured by the bit-error-rate (BER). This performance is achieved at a much lower computational time compared to the optimal detector. The potential of the μGA detector as a suboptimal DS-CDMA multi-user detector is thus demonstrated.",

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AB - A new multi-user detection technique that utilizes only the micro genetic algorithm (μGA) is developed. In contrast to previous approaches, the micro-genetic algorithm is not hybridized with any detector other than a conventional detector (CD) or a decorrelator as an initial stage. The use of this algorithm considerably reduces the number of operations as well as the total cost of the proposed detector. A 5-user DS-CDMA system is adopted to examine the performance of the μGA detector. Using computer simulations, it is shown that the proposed μGA receiver achieves a performance close to the optimal detector as measured by the bit-error-rate (BER). This performance is achieved at a much lower computational time compared to the optimal detector. The potential of the μGA detector as a suboptimal DS-CDMA multi-user detector is thus demonstrated.

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A micro-genetic algorithm-based CDMA multi-user detector

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