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Genetically Enhanced TTCM Assisted MMSE Multi-user Detection for SDMA-OFDM

Genetically Enhanced TTCM Assisted MMSE Multi-user Detection for SDMA-OFDM
Genetically Enhanced TTCM Assisted MMSE Multi-user Detection for SDMA-OFDM
Space Division Multiple Access (SDMA) aided Orthogonal Frequency Division Multiplexing (OFDM) systems assisted by efficient Multi-User Detection (MUD) techniques have recently attracted intensive research interests. The Maximum Likelihood Detection (MLD) arrangement was found to attain the best performance, although this was achieved at the cost of a computational complexity, which increases exponentially both with the number of users and with the number of bits per symbol transmitted by higher-order modulation schemes. By contrast, the Minimum Mean-Square Error (MMSE) SDMA-MUD exhibits a lower complexity at the cost of a performance loss. Forward Error Correction (FEC) schemes such as Turbo Trellis Coded Modulation (TTCM) may be efficiently amalgamated with SDMA-OFDM systems for the sake of improving the achievable performance. Genetic Algorithm (GA) based multiuser detection techniques have been shown to provide a good performance in MUD-aided Code Division Multiple Access (CDMA) systems. In this contribution a GA-aided MMSE MUD is proposed for employment in a TTCM-assisted SDMA-OFDM system, which is capable of achieving a similar performance to that attained by its MLD-aided counterpart at a significantly lower complexity, especially at high user loads.
1954-1958
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Jiang, M. and Hanzo, L. (2004) Genetically Enhanced TTCM Assisted MMSE Multi-user Detection for SDMA-OFDM. VTC'04 (Fall), United States. 26 - 29 Sep 2004. pp. 1954-1958 .

Record type: Conference or Workshop Item (Paper)

Abstract

Space Division Multiple Access (SDMA) aided Orthogonal Frequency Division Multiplexing (OFDM) systems assisted by efficient Multi-User Detection (MUD) techniques have recently attracted intensive research interests. The Maximum Likelihood Detection (MLD) arrangement was found to attain the best performance, although this was achieved at the cost of a computational complexity, which increases exponentially both with the number of users and with the number of bits per symbol transmitted by higher-order modulation schemes. By contrast, the Minimum Mean-Square Error (MMSE) SDMA-MUD exhibits a lower complexity at the cost of a performance loss. Forward Error Correction (FEC) schemes such as Turbo Trellis Coded Modulation (TTCM) may be efficiently amalgamated with SDMA-OFDM systems for the sake of improving the achievable performance. Genetic Algorithm (GA) based multiuser detection techniques have been shown to provide a good performance in MUD-aided Code Division Multiple Access (CDMA) systems. In this contribution a GA-aided MMSE MUD is proposed for employment in a TTCM-assisted SDMA-OFDM system, which is capable of achieving a similar performance to that attained by its MLD-aided counterpart at a significantly lower complexity, especially at high user loads.

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More information

Published date: 2004
Additional Information: Event Dates: 26-29 September 2004
Venue - Dates: VTC'04 (Fall), United States, 2004-09-26 - 2004-09-29
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261656
URI: https://eprints.soton.ac.uk/id/eprint/261656
PURE UUID: a6123da4-7dd5-44e4-a1ea-7ece5fc01d69
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 13 Dec 2005
Last modified: 15 Aug 2019 00:57

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