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Ant-colony-based multiuser detection for multifunctional-antenna-array-assisted MC DS-CDMA systems

Ant-colony-based multiuser detection for multifunctional-antenna-array-assisted MC DS-CDMA systems
Ant-colony-based multiuser detection for multifunctional-antenna-array-assisted MC DS-CDMA systems
A novel Ant Colony Optimization (ACO) based Multi-User Detector (MUD) is designed for the synchronous Multi-Functional Antenna Array (MFAA) assisted Multi-Carrier Direct-Sequence Code-Division Multiple-Access (MC DS-CDMA) uplink (UL), which supports both receiver diversity and receiver beamforming. The ACO-based MUD aims for achieving a bit-error-rate (BER) performance approaching that of the optimum maximum likelihood (ML) MUD, without carrying out an exhaustive search of the entire MC DS-CDMA search space constituted by all possible combinations of the received multi-user vectors. We will demonstrate that regardless of the number of the subcarriers or of the MFAA configuration, the system employing the proposed ACO based MUD is capable of supporting 32 users with the aid of 31-chip Gold codes used as the T-domain spreading sequence without any significant performance degradation compared to the single-user system. As a further benefit, the number of floating point operations per second (FLOPS) imposed by the proposed ACO-based MUD is a factor of 108 lower than that of the ML MUD. We will also show that at a given increase of the complexity, the MFAA will allow the ACO based MUD to achieve a higher SNR gain than the Single-Input Single-Output (SISO) MC DS-CDMA system. Index Terms—Ant Colony Optimization, Multi-User Detector, Multi-Functional Antenna Array, Multi-Carrier Direct-Sequence Code-Division Multiple-Access, Uplink, Near-Maximum Likelihood Detection.
0018-9545
658-663
Xu, C.
66441ee5-1017-4177-abb2-7875c09bdc66
Hu, B.
5dcb8fd4-63dc-4902-9fa0-e8e6481cdb4f
Yang, L-L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Xu, C.
66441ee5-1017-4177-abb2-7875c09bdc66
Hu, B.
5dcb8fd4-63dc-4902-9fa0-e8e6481cdb4f
Yang, L-L.
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Xu, C., Hu, B., Yang, L-L. and Hanzo, L. (2008) Ant-colony-based multiuser detection for multifunctional-antenna-array-assisted MC DS-CDMA systems. IEEE Transactions on Vehicular Technology, 57 (1), 658-663.

Record type: Article

Abstract

A novel Ant Colony Optimization (ACO) based Multi-User Detector (MUD) is designed for the synchronous Multi-Functional Antenna Array (MFAA) assisted Multi-Carrier Direct-Sequence Code-Division Multiple-Access (MC DS-CDMA) uplink (UL), which supports both receiver diversity and receiver beamforming. The ACO-based MUD aims for achieving a bit-error-rate (BER) performance approaching that of the optimum maximum likelihood (ML) MUD, without carrying out an exhaustive search of the entire MC DS-CDMA search space constituted by all possible combinations of the received multi-user vectors. We will demonstrate that regardless of the number of the subcarriers or of the MFAA configuration, the system employing the proposed ACO based MUD is capable of supporting 32 users with the aid of 31-chip Gold codes used as the T-domain spreading sequence without any significant performance degradation compared to the single-user system. As a further benefit, the number of floating point operations per second (FLOPS) imposed by the proposed ACO-based MUD is a factor of 108 lower than that of the ML MUD. We will also show that at a given increase of the complexity, the MFAA will allow the ACO based MUD to achieve a higher SNR gain than the Single-Input Single-Output (SISO) MC DS-CDMA system. Index Terms—Ant Colony Optimization, Multi-User Detector, Multi-Functional Antenna Array, Multi-Carrier Direct-Sequence Code-Division Multiple-Access, Uplink, Near-Maximum Likelihood Detection.

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Published date: 2008
Additional Information: Imported from ISI Web of Science
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264636
URI: http://eprints.soton.ac.uk/id/eprint/264636
ISSN: 0018-9545
PURE UUID: 6277d462-6b9a-4125-b3a4-a082f84b100d
ORCID for L-L. Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 04 Oct 2007
Last modified: 18 Mar 2024 02:49

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Contributors

Author: C. Xu
Author: B. Hu
Author: L-L. Yang ORCID iD
Author: L. Hanzo ORCID iD

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