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

Mubarak M S Al-Sawafi, Joseph A. Jervase

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings - Second Annual Conference on Communication Networks and Services Research
EditorsA.A Ghorbani
Pages175-180
Number of pages6
DOIs
Publication statusPublished - 2004
EventProceedings - Second Annual Conference on Communication Networks and Services Research - Fredericton, NB, Canada
Duration: May 19 2004May 21 2004

Other

OtherProceedings - Second Annual Conference on Communication Networks and Services Research
CountryCanada
CityFredericton, NB
Period5/19/045/21/04

Fingerprint

Code division multiple access
Genetic algorithms
Detectors
Multiuser detection
Bit error rate
Computer simulation
Costs

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Al-Sawafi, M. M. S., & Jervase, J. A. (2004). A micro-genetic algorithm-based CDMA multi-user detector. In A. A. Ghorbani (Ed.), Proceedings - Second Annual Conference on Communication Networks and Services Research (pp. 175-180) https://doi.org/10.1109/DNSR.2004.1344726

A micro-genetic algorithm-based CDMA multi-user detector. / Al-Sawafi, Mubarak M S; Jervase, Joseph A.

Proceedings - Second Annual Conference on Communication Networks and Services Research. ed. / A.A Ghorbani. 2004. p. 175-180.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Al-Sawafi MMS, Jervase JA. A micro-genetic algorithm-based CDMA multi-user detector. In Ghorbani AA, editor, Proceedings - Second Annual Conference on Communication Networks and Services Research. 2004. p. 175-180 https://doi.org/10.1109/DNSR.2004.1344726
Al-Sawafi, Mubarak M S ; Jervase, Joseph A. / A micro-genetic algorithm-based CDMA multi-user detector. Proceedings - Second Annual Conference on Communication Networks and Services Research. editor / A.A Ghorbani. 2004. pp. 175-180
@inproceedings{294f7ce317a04b2b97e4cef0e0fe1685,
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.",
author = "Al-Sawafi, {Mubarak M S} and Jervase, {Joseph A.}",
year = "2004",
doi = "10.1109/DNSR.2004.1344726",
language = "English",
isbn = "0769520960",
pages = "175--180",
editor = "A.A Ghorbani",
booktitle = "Proceedings - Second Annual Conference on Communication Networks and Services Research",

}

TY - GEN

T1 - A micro-genetic algorithm-based CDMA multi-user detector

AU - Al-Sawafi, Mubarak M S

AU - Jervase, Joseph A.

PY - 2004

Y1 - 2004

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=4544246216&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=4544246216&partnerID=8YFLogxK

U2 - 10.1109/DNSR.2004.1344726

DO - 10.1109/DNSR.2004.1344726

M3 - Conference contribution

AN - SCOPUS:4544246216

SN - 0769520960

SN - 9780769520964

SP - 175

EP - 180

BT - Proceedings - Second Annual Conference on Communication Networks and Services Research

A2 - Ghorbani, A.A

ER -