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Ant-Colony Based Near-ML Space-Time Multiuser Detection for the STBC Assisted DS-CDMA Uplink

Ant-Colony Based Near-ML Space-Time Multiuser Detection for the STBC Assisted DS-CDMA Uplink
Ant-Colony Based Near-ML Space-Time Multiuser Detection for the STBC Assisted DS-CDMA Uplink
In this contribution, a novel Ant Colony Optimization (ACO) based Space-Time (ST) Multiuser Detection (MUD) algorithm was proposed in order to improve the Bit Error Ratio (BER) versus Signal-to-Noise Ratio (SNR) performance achieved by the Space-Time Block Code (STBC) assisted two transmit antenna aided fully loaded DS-CDMA system directly employing an ACO based MUD algorithm. Our simulation results demonstrate that the proposed ACO based MUD algorithm enables the fully loaded system to approach the single user performance associated with a second-order diversity gain. Furthermore, the complexity of the improved ACO based MUD algorithm is a factor of 1018 lower than that of the Maximum Likelihood (ML) MUD, when K = 32 users are supported by the STBC G2 assisted DS-CDMA systems employing Gold codes having a length of 31 chips.
978-1-4244-2519-8
Xu, Chong
acdb0d0f-a2a4-406f-b206-5abfe2228007
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Xu, Chong
acdb0d0f-a2a4-406f-b206-5abfe2228007
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Xu, Chong, Yang, Lie-Liang and Hanzo, Lajos (2010) Ant-Colony Based Near-ML Space-Time Multiuser Detection for the STBC Assisted DS-CDMA Uplink. VTC 2010 Spring. 16 - 19 May 2010. (doi:10.1109/VETECS.2010.5493616).

Record type: Conference or Workshop Item (Paper)

Abstract

In this contribution, a novel Ant Colony Optimization (ACO) based Space-Time (ST) Multiuser Detection (MUD) algorithm was proposed in order to improve the Bit Error Ratio (BER) versus Signal-to-Noise Ratio (SNR) performance achieved by the Space-Time Block Code (STBC) assisted two transmit antenna aided fully loaded DS-CDMA system directly employing an ACO based MUD algorithm. Our simulation results demonstrate that the proposed ACO based MUD algorithm enables the fully loaded system to approach the single user performance associated with a second-order diversity gain. Furthermore, the complexity of the improved ACO based MUD algorithm is a factor of 1018 lower than that of the Maximum Likelihood (ML) MUD, when K = 32 users are supported by the STBC G2 assisted DS-CDMA systems employing Gold codes having a length of 31 chips.

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Published date: May 2010
Venue - Dates: VTC 2010 Spring, 2010-05-16 - 2010-05-19
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271168
URI: http://eprints.soton.ac.uk/id/eprint/271168
ISBN: 978-1-4244-2519-8
PURE UUID: 5a842b48-ef1e-4aee-a137-a95f0793b96c
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 25 May 2010 21:01
Last modified: 20 Jul 2019 01:26

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