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 | |
| 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 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
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 proceeding › Conference contribution
}
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
SN - 0769520960
SN - 9780769520964
SP - 175
EP - 180
BT - Proceedings - Second Annual Conference on Communication Networks and Services Research
A2 - Ghorbani, A.A
ER -