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Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems

Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems
Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems
Space division multiple access (SDMA) aided orthogonal frequency division multiplexing (OFDM) systems assisted by efficient multiuser 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, for example, turbo trellis coded modulation (TTCM), may be efficiently combined 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 optimum MLD-aided counterpart at a significantly lower complexity, especially at high user loads. Moreover, when the proposed biased Q-function based mutation (BQM) assisted iterative GA (IGA) MUD is employed, the GA-aided system’s performance can be further improved, for example, by reducing the bit error ratio (BER) measured at 3 dB by about five orders of magnitude in comparison to the TTCM assisted MMSE-SDMA-OFDM benchmarker system, while still maintaining modest complexity.
genetic algorithm, MMSE, MUD, OFDM, SDMA, TTCM
0018-9545
115-127
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Ng, S. X.
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Valenti, M.
50108319-92aa-47a2-85d4-d0d9f1de3b14
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Ng, S. X.
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Valenti, M.
50108319-92aa-47a2-85d4-d0d9f1de3b14

Jiang, M., Ng, S. X. and Hanzo, L. , Valenti, M. (ed.) (2006) Hybrid Iterative Multiuser Detection for Channel Coded Space Division Multiple Access OFDM Systems. IEEE Transactions on Vehicular Technology, 55 (1), 115-127.

Record type: Article

Abstract

Space division multiple access (SDMA) aided orthogonal frequency division multiplexing (OFDM) systems assisted by efficient multiuser 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, for example, turbo trellis coded modulation (TTCM), may be efficiently combined 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 optimum MLD-aided counterpart at a significantly lower complexity, especially at high user loads. Moreover, when the proposed biased Q-function based mutation (BQM) assisted iterative GA (IGA) MUD is employed, the GA-aided system’s performance can be further improved, for example, by reducing the bit error ratio (BER) measured at 3 dB by about five orders of magnitude in comparison to the TTCM assisted MMSE-SDMA-OFDM benchmarker system, while still maintaining modest complexity.

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More information

Published date: January 2006
Keywords: genetic algorithm, MMSE, MUD, OFDM, SDMA, TTCM
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262110
URI: http://eprints.soton.ac.uk/id/eprint/262110
ISSN: 0018-9545
PURE UUID: 3bec3564-d085-4520-b3a1-e2fd7875391f
ORCID for S. X. Ng: ORCID iD orcid.org/0000-0002-0930-7194
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 22 Mar 2006
Last modified: 18 Mar 2024 02:48

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Contributors

Author: M. Jiang
Author: S. X. Ng ORCID iD
Author: L. Hanzo ORCID iD
Editor: M. Valenti

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