The University of Southampton
University of Southampton Institutional Repository

Ant-Colony-Based Multiuser Detection for Multi-Functional Antenna Array Assisted MC DS-CDMA Systems

Record type: Article

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.

PDF ACO-TVT.pdf - Other
Download (310kB)


Xu, C., Hu, B., Yang, L-L. and Hanzo, L. (2008) Ant-Colony-Based Multiuser Detection for Multi-Functional Antenna Array Assisted MC DS-CDMA Systems IEEE Transactions on Vehicular Technology, 57, (1), pp. 658-663.

More information

Published date: 2008
Organisations: Southampton Wireless Group


Local EPrints ID: 264636
ISSN: 0018-9545
PURE UUID: 6277d462-6b9a-4125-b3a4-a082f84b100d
ORCID for L-L. Yang: ORCID iD

Catalogue record

Date deposited: 04 Oct 2007
Last modified: 18 Jul 2017 07:33

Export record


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

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.