IEICE TRANSACTIONS on Communications
Particle Swarm with Soft Decision for Multiuser Detection of Synchronous Multicarrier CDMA
Summary :
The computation involved in multiuser detection (MUD) for multicarrier CDMA (MC-CDMA) based on maximum likelihood (ML) principle grows exponentially with the number of users. Particle swarm optimization (PSO) with soft decisions has been proposed to mitigate this problem. The computational complexity of PSO, is comparable with genetic algorithm (GA), but is much less than the optimal ML detector and yet its performance is much better than GA.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.5 pp.1640-1643
- Publication Date
- 2008/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.5.1640
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Muhammad ZUBAIR, Muhammad A.S. CHOUDHRY, Aqdas NAVEED, Ijaz Mansoor QURESHI, "Particle Swarm with Soft Decision for Multiuser Detection of Synchronous Multicarrier CDMA" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 5, pp. 1640-1643, May 2008, doi: 10.1093/ietcom/e91-b.5.1640.
Abstract: The computation involved in multiuser detection (MUD) for multicarrier CDMA (MC-CDMA) based on maximum likelihood (ML) principle grows exponentially with the number of users. Particle swarm optimization (PSO) with soft decisions has been proposed to mitigate this problem. The computational complexity of PSO, is comparable with genetic algorithm (GA), but is much less than the optimal ML detector and yet its performance is much better than GA.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.5.1640/_p
Copy
@ARTICLE{e91-b_5_1640,
author={Muhammad ZUBAIR, Muhammad A.S. CHOUDHRY, Aqdas NAVEED, Ijaz Mansoor QURESHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Particle Swarm with Soft Decision for Multiuser Detection of Synchronous Multicarrier CDMA},
year={2008},
volume={E91-B},
number={5},
pages={1640-1643},
abstract={The computation involved in multiuser detection (MUD) for multicarrier CDMA (MC-CDMA) based on maximum likelihood (ML) principle grows exponentially with the number of users. Particle swarm optimization (PSO) with soft decisions has been proposed to mitigate this problem. The computational complexity of PSO, is comparable with genetic algorithm (GA), but is much less than the optimal ML detector and yet its performance is much better than GA.},
keywords={},
doi={10.1093/ietcom/e91-b.5.1640},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Particle Swarm with Soft Decision for Multiuser Detection of Synchronous Multicarrier CDMA
T2 - IEICE TRANSACTIONS on Communications
SP - 1640
EP - 1643
AU - Muhammad ZUBAIR
AU - Muhammad A.S. CHOUDHRY
AU - Aqdas NAVEED
AU - Ijaz Mansoor QURESHI
PY - 2008
DO - 10.1093/ietcom/e91-b.5.1640
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2008
AB - The computation involved in multiuser detection (MUD) for multicarrier CDMA (MC-CDMA) based on maximum likelihood (ML) principle grows exponentially with the number of users. Particle swarm optimization (PSO) with soft decisions has been proposed to mitigate this problem. The computational complexity of PSO, is comparable with genetic algorithm (GA), but is much less than the optimal ML detector and yet its performance is much better than GA.
ER -
English
