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Iterative Multi-User Detection for OFDM using Biased Mutation Assited Genetic Algorithms

Record type: Conference or Workshop Item (Other)

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. As expected, Maximum Likelihood (ML) detection was found to attain the best performance, although this was achieved at the cost of a high computational complexity. Forward Error Correction (FEC) schemes such as Turbo Trellis Coded Modulation (TTCM) can be efficiently amalgamated with SDMA-OFDM systems for the sake of improving the achievable performance without bandwidth expansion. In this contribution, a MMSE-aided Iterative GA (IGA) 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 optimum ML-aided counterpart at a significantly lower complexity, especially at high user loads. Moreover, when the proposed novel Biased Q-function Based Mutation (BQM) scheme is employed, the IGA-aided system’s performance can be further improved by achieving an Eb/N0 gain of about 6dB in comparison to the TTCM-aided MMSE-SDMA-OFDM benchmarker system both in low- and high-throughput modem scenarios, respectively, while still maintaining a modest complexity.

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Citation

Jiang, M. and Hanzo, L. (2005) Iterative Multi-User Detection for OFDM using Biased Mutation Assited Genetic Algorithms At IEE 3G and Beyond, United Kingdom. 07 - 09 Nov 2005. , pp. 297-301.

More information

Published date: 2005
Additional Information: Event Dates: 7-9 November 2005
Venue - Dates: IEE 3G and Beyond, United Kingdom, 2005-11-07 - 2005-11-09
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261683
URI: http://eprints.soton.ac.uk/id/eprint/261683
PURE UUID: b597ecd6-2769-4e84-9b31-bccbd4e78e9c

Catalogue record

Date deposited: 15 Dec 2005
Last modified: 18 Jul 2017 09:00

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Contributors

Author: M. Jiang
Author: L. Hanzo

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