Differential evolution algorithm aided minimum symbol error rate multi-user detection for multi-user OFDM/SDMA systems
Differential evolution algorithm aided minimum symbol error rate multi-user detection for multi-user OFDM/SDMA systems
A Differential Evolution (DE) algorithm assisted Minimum Symbol Error Ratio (MSER) Multi-User Detection (MUD) scheme is proposed for multi-user Multiple-Input Multiple-Output (MIMO) aided Orthogonal Frequency-Division Multiplexing / Space Division Multiple Access (OFDM/SDMA) systems. Quadrature Amplitude Modulation (QAM) is employed in most wireless standards by virtue of providing a high throughput. The MSER Cost Function (CF) may be deemed to be the most relevant one for QAM, but finding its minimum is challenging. Hence we propose a sophisticated DE assisted MSER-MUD scheme, which directly minimizes the SER CF of multi-user OFDM/SDMA systems employing QAM. Furthermore, the effects of the DE assisted MSER-MUD’s algorithmic parameters, namely those of the population size Ps, of the scaling factor ? and of the crossover probability Cr on the number of DE generations required for attaining convergence were investigated in our simulations. This allowed us to directly quantify their complexity. The simulation results also demonstrate that the proposed DE assisted MSER-MUD scheme significantly outperforms the conventional MMSE-MUD in term of the system’s overall BER and it is capable of narrowing its BER performance discrepancy with respect to the optimal Maximum Likelihood (ML) MUD to about 4dB, while requiring about 200 times less CF evaluations compared to the optimal ML-MUD scheme.
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mu, Xiaomin
3d578909-36ba-4b16-b703-2ef63532116c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mu, Xiaomin
3d578909-36ba-4b16-b703-2ef63532116c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Jiankang, Chen, Sheng, Mu, Xiaomin and Hanzo, Lajos
(2012)
Differential evolution algorithm aided minimum symbol error rate multi-user detection for multi-user OFDM/SDMA systems.
2012 IEEE 75th Vehicular Technology Conference (VTC2012-Spring), Yokohama, Japan.
5 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
A Differential Evolution (DE) algorithm assisted Minimum Symbol Error Ratio (MSER) Multi-User Detection (MUD) scheme is proposed for multi-user Multiple-Input Multiple-Output (MIMO) aided Orthogonal Frequency-Division Multiplexing / Space Division Multiple Access (OFDM/SDMA) systems. Quadrature Amplitude Modulation (QAM) is employed in most wireless standards by virtue of providing a high throughput. The MSER Cost Function (CF) may be deemed to be the most relevant one for QAM, but finding its minimum is challenging. Hence we propose a sophisticated DE assisted MSER-MUD scheme, which directly minimizes the SER CF of multi-user OFDM/SDMA systems employing QAM. Furthermore, the effects of the DE assisted MSER-MUD’s algorithmic parameters, namely those of the population size Ps, of the scaling factor ? and of the crossover probability Cr on the number of DE generations required for attaining convergence were investigated in our simulations. This allowed us to directly quantify their complexity. The simulation results also demonstrate that the proposed DE assisted MSER-MUD scheme significantly outperforms the conventional MMSE-MUD in term of the system’s overall BER and it is capable of narrowing its BER performance discrepancy with respect to the optimal Maximum Likelihood (ML) MUD to about 4dB, while requiring about 200 times less CF evaluations compared to the optimal ML-MUD scheme.
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vtc-2012-Spring.pdf
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e-pub ahead of print date: 7 May 2012
Venue - Dates:
2012 IEEE 75th Vehicular Technology Conference (VTC2012-Spring), Yokohama, Japan, 2012-05-07
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 338097
URI: http://eprints.soton.ac.uk/id/eprint/338097
PURE UUID: 00961260-9810-4a69-949f-dd56a3684123
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Date deposited: 09 May 2012 16:18
Last modified: 18 Mar 2024 03:14
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Contributors
Author:
Jiankang Zhang
Author:
Sheng Chen
Author:
Xiaomin Mu
Author:
Lajos Hanzo
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