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Turbo multi-user detection for OFDM/SDMA systems relying on differential evolution aided iterative channel estimation

Turbo multi-user detection for OFDM/SDMA systems relying on differential evolution aided iterative channel estimation
Turbo multi-user detection for OFDM/SDMA systems relying on differential evolution aided iterative channel estimation
A differential evolution (DE) algorithm aided iterative channel estimation and turbo multi-user detection (MUD) scheme is proposed for multi-user multi-input multiple-output aided orthogonal frequency-division multiplexing/spacedivision multiple-access (OFDM/SDMA) systems. The proposed scheme iteratively exchanges the estimated channel information and the detected data between the channel estimator and MUD employing a turbo technique, which gradually improves the accuracy of the channel estimation and the MUD, especially for the first iteration. Quadrature amplitude modulation (QAM) is employed in most wireless standards by virtue of providing a high throughput. However, the optimal maximum likelihood (ML)-MUD becomes extremely complex for employment in QAM-aided multi-user systems. Hence, two different DE aided MUD schemes, the DE aided minimum symbol error rate (MSER)-MUD as well as the discrete DE aided ML-MUD, were developed, and their achievable performance versus complexity was characterized. The simulation results demonstrate that the proposed DE aided channel estimator is capable of approaching the Cramer-Rao lower bound with just two or three iterations. The ultimate bit error rate lower-bound of the single-user additive white Gaussian noise scenario has been approached in the range of E_{b}/N_{0}\ge 10 dB and E_{b}/N_{0}\ge 6 dB for the DE aided MSER-MUD and the discrete DE aided ML-MUD, respectively.
1621-1633
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) Turbo multi-user detection for OFDM/SDMA systems relying on differential evolution aided iterative channel estimation. IEEE Transactions on Communications, 60 (6), 1621-1633.

Record type: Article

Abstract

A differential evolution (DE) algorithm aided iterative channel estimation and turbo multi-user detection (MUD) scheme is proposed for multi-user multi-input multiple-output aided orthogonal frequency-division multiplexing/spacedivision multiple-access (OFDM/SDMA) systems. The proposed scheme iteratively exchanges the estimated channel information and the detected data between the channel estimator and MUD employing a turbo technique, which gradually improves the accuracy of the channel estimation and the MUD, especially for the first iteration. Quadrature amplitude modulation (QAM) is employed in most wireless standards by virtue of providing a high throughput. However, the optimal maximum likelihood (ML)-MUD becomes extremely complex for employment in QAM-aided multi-user systems. Hence, two different DE aided MUD schemes, the DE aided minimum symbol error rate (MSER)-MUD as well as the discrete DE aided ML-MUD, were developed, and their achievable performance versus complexity was characterized. The simulation results demonstrate that the proposed DE aided channel estimator is capable of approaching the Cramer-Rao lower bound with just two or three iterations. The ultimate bit error rate lower-bound of the single-user additive white Gaussian noise scenario has been approached in the range of E_{b}/N_{0}\ge 10 dB and E_{b}/N_{0}\ge 6 dB for the DE aided MSER-MUD and the discrete DE aided ML-MUD, respectively.

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TCOM-TPS-11-0400R2.pdf - Accepted Manuscript
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More information

Published date: June 2012
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 273148
URI: http://eprints.soton.ac.uk/id/eprint/273148
PURE UUID: 4fc513f3-9cd9-466b-9864-4d976ce018c3
ORCID for Jiankang Zhang: ORCID iD orcid.org/0000-0001-5316-1711
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 30 Jan 2012 15:42
Last modified: 18 Feb 2021 17:13

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