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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 JCEM...

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Published in:IEEE transactions on vehicular technology 2011-09, Vol.60 (7), p.3265-3275
Main Authors: Jiankang Zhang, Sheng Chen, Xiaomin Mu, Hanzo, L.
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description 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 log-likelihood 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 E b /N 0 = 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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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 E b /N 0 = 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.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TVT.2011.2161356</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
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subjects Applied sciences
Boosting
Channel estimation
Channels
Circuit properties
Complexity
Decoders
Detection, estimation, filtering, equalization, prediction
Detectors
Electric, optical and optoelectronic circuits
Electronic circuits
Electronics
Error correction
Error correction & detection
Estimators
Exact sciences and technology
Forward error correction
Information, signal and communications theory
Joint channel estimation and multiuser detection (JCEMUD)
Joints
Mean square errors
Multiaccess communication
Multiplexing
Multiuser detection
OFDM
Orthogonal Frequency Division Multiplexing
orthogonal frequency-division multiplexing (OFDM)
Reduction
repeated weighted boosting search (RWBS)
Searching
Signal and communications theory
Signal convertors
Signal, noise
space-division multiple access (SDMA)
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
title Joint Channel Estimation and Multiuser Detection for SDMA/OFDM Based on Dual Repeated Weighted Boosting Search
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