Joint Channel Estimation and Multiuser Detection for SDMA/OFDM Based on Dual Repeated Weighted Boosting Search
Joint Channel Estimation and Multiuser Detection for SDMA/OFDM Based on Dual Repeated Weighted Boosting Search
A joint channel estimation and multiuser detection (JCEMUD) scheme is proposed for multiuser multiple-input–multiple-output (MIMO) space-division multiple-access/ orthogonal frequency-division-multiplexing (SDMA/OFDM) systems. We design a dual repeated weighted boosting search (DRWBS) scheme for JCEMUD, which is capable of providing "soft" outputs, which are directly fed to the forward error correction (FEC) decoder. The proposed DRWBS-JCEMUD scheme iteratively estimates the channel impulse responses and detects the users’ transmitted signals while exploiting the error correction capability of an FEC decoder to iteratively exchange information between the detector and the estimator. Furthermore, the proposed DRWBS-JCEMUD scheme is capable of providing the loglikelihood ratios of the coded bits at low computational complexity (comparable with the single-user scenario), which can directly be fed to the FEC decoder. The simulation results demonstrate that the proposed DRWBS-JCEMUD scheme is capable of attaining a mean square error performance close to that of the ideal scenario of the least-square channel estimator associated with 100% pilot overhead and narrows the discrepancy with respect to the optimal maximum-likelihood (ML) MUD associated with perfect channel knowledge. As an example, at Eb/N0 = 10 dB, a factor of 0.756 complexity reduction was achieved at the cost of a 1-dB performance penalty, in comparison with the ML-MUD.
3265-3275
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mu, Xiaomin
22ae839c-4cc4-442b-bead-84abcd04880e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
September 2011
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mu, Xiaomin
22ae839c-4cc4-442b-bead-84abcd04880e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Jiankang, Chen, Sheng, Mu, Xiaomin and Hanzo, Lajos
(2011)
Joint Channel Estimation and Multiuser Detection for SDMA/OFDM Based on Dual Repeated Weighted Boosting Search.
IEEE Transactions on Vehicular Technology, 60 (7), .
Abstract
A joint channel estimation and multiuser detection (JCEMUD) scheme is proposed for multiuser multiple-input–multiple-output (MIMO) space-division multiple-access/ orthogonal frequency-division-multiplexing (SDMA/OFDM) systems. We design a dual repeated weighted boosting search (DRWBS) scheme for JCEMUD, which is capable of providing "soft" outputs, which are directly fed to the forward error correction (FEC) decoder. The proposed DRWBS-JCEMUD scheme iteratively estimates the channel impulse responses and detects the users’ transmitted signals while exploiting the error correction capability of an FEC decoder to iteratively exchange information between the detector and the estimator. Furthermore, the proposed DRWBS-JCEMUD scheme is capable of providing the loglikelihood ratios of the coded bits at low computational complexity (comparable with the single-user scenario), which can directly be fed to the FEC decoder. The simulation results demonstrate that the proposed DRWBS-JCEMUD scheme is capable of attaining a mean square error performance close to that of the ideal scenario of the least-square channel estimator associated with 100% pilot overhead and narrows the discrepancy with respect to the optimal maximum-likelihood (ML) MUD associated with perfect channel knowledge. As an example, at Eb/N0 = 10 dB, a factor of 0.756 complexity reduction was achieved at the cost of a 1-dB performance penalty, in comparison with the ML-MUD.
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Published date: September 2011
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 272773
URI: http://eprints.soton.ac.uk/id/eprint/272773
ISSN: 0018-9545
PURE UUID: fce21c93-468d-406d-8bb3-64e1a71da1ae
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Date deposited: 14 Sep 2011 09:06
Last modified: 18 Mar 2024 03:14
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Author:
Jiankang Zhang
Author:
Sheng Chen
Author:
Xiaomin Mu
Author:
Lajos Hanzo
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