Adaptive MBER space-time DFE assisted multiuser detection for SDMA systems
Adaptive MBER space-time DFE assisted multiuser detection for SDMA systems
In this contribution we propose a space-time decision feedback equalization (ST-DFE) assisted multiuser detection (MUD) scheme for multiple antenna aided space division multiple access systems. A minimum bit error rate (MBER) design is invoked for the MUD, which is shown to be capable of improving the achievable bit error rate performance over that of the minimum mean square error (MMSE) design. An adaptive MBER ST-DFE-MUD is proposed using the least bit error rate algorithm, which is demonstrated to consistently outperform the least mean square (LMS) algorithm, while achieving a lower computational complexity than the LMS algorithm for the binary signalling scheme. Simulation results demonstrate that theMBER ST-DFE-MUD is more robust to channel estimation errors as well as to error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE-MUD.
12-16
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Livingstone, A.
9899a7a8-8517-4b86-9d15-cd52d57efbfc
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
2006
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Livingstone, A.
9899a7a8-8517-4b86-9d15-cd52d57efbfc
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S., Livingstone, A. and Hanzo, L.
(2006)
Adaptive MBER space-time DFE assisted multiuser detection for SDMA systems.
IEEE VTC'06 (Spring), Melbourne, Australia.
07 - 10 May 2006.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this contribution we propose a space-time decision feedback equalization (ST-DFE) assisted multiuser detection (MUD) scheme for multiple antenna aided space division multiple access systems. A minimum bit error rate (MBER) design is invoked for the MUD, which is shown to be capable of improving the achievable bit error rate performance over that of the minimum mean square error (MMSE) design. An adaptive MBER ST-DFE-MUD is proposed using the least bit error rate algorithm, which is demonstrated to consistently outperform the least mean square (LMS) algorithm, while achieving a lower computational complexity than the LMS algorithm for the binary signalling scheme. Simulation results demonstrate that theMBER ST-DFE-MUD is more robust to channel estimation errors as well as to error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE-MUD.
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Published date: 2006
Additional Information:
Event Dates: 7-10 May 2006
Venue - Dates:
IEEE VTC'06 (Spring), Melbourne, Australia, 2006-05-07 - 2006-05-10
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 262573
URI: http://eprints.soton.ac.uk/id/eprint/262573
PURE UUID: 7be10961-6444-41ea-bd69-032274b3b4c0
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Date deposited: 12 May 2006
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
S. Chen
Author:
A. Livingstone
Author:
L. Hanzo
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