Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels

Mikko Vehkaperä, Keigo Takeuchi, Ralf R. Müller, Toshiyuki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

Large system analysis of a randomly spread direct-sequence code-division multiple-access system in a frequency-selective channel is considered. The receiver uses iterative channel estimation and multiuser detection (MUD) with soft feedback from single-user decoders to refine both the decisions of the linear minimum mean square error (LMMSE) MUD, and the initial pilot-based estimates of the LMMSE channel estimator. Replica method, a tool from statistical physics, and density evolution with Gaussian approximation are used to obtain the asymptotic performance of the LMMSE MUD with soft parallel interference cancellation. The results indicate that as the channel coherence time grows, the performance of corresponding single-user system having perfect channel state information can be approached even in an overloaded multiuser system using channel estimation and vanishing pilot overhead. copyright by EURASIP.

Original languageEnglish
Title of host publication16th European Signal Processing Conference, EUSIPCO 2008
PublisherIEEE Institute of Electrical and Electronic Engineers
Publication statusPublished - 1 Dec 2008
MoE publication typeA4 Article in a conference publication
Event16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland
Duration: 25 Aug 200829 Aug 2008

Publication series

SeriesEuropean Signal Processing Conference
Volume16
ISSN2219-5491

Conference

Conference16th European Signal Processing Conference, EUSIPCO 2008
CountrySwitzerland
CityLausanne
Period25/08/0829/08/08

Fingerprint

Multiuser detection
Asymptotic analysis
Multipath propagation
Channel estimation
Mean square error
Feedback
Channel state information
Code division multiple access
Physics
Systems analysis

Cite this

Vehkaperä, M., Takeuchi, K., Müller, R. R., & Tanaka, T. (2008). Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels. In 16th European Signal Processing Conference, EUSIPCO 2008 [15038437] IEEE Institute of Electrical and Electronic Engineers . European Signal Processing Conference, Vol.. 16
Vehkaperä, Mikko ; Takeuchi, Keigo ; Müller, Ralf R. ; Tanaka, Toshiyuki. / Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels. 16th European Signal Processing Conference, EUSIPCO 2008. IEEE Institute of Electrical and Electronic Engineers , 2008. (European Signal Processing Conference, Vol. 16).
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abstract = "Large system analysis of a randomly spread direct-sequence code-division multiple-access system in a frequency-selective channel is considered. The receiver uses iterative channel estimation and multiuser detection (MUD) with soft feedback from single-user decoders to refine both the decisions of the linear minimum mean square error (LMMSE) MUD, and the initial pilot-based estimates of the LMMSE channel estimator. Replica method, a tool from statistical physics, and density evolution with Gaussian approximation are used to obtain the asymptotic performance of the LMMSE MUD with soft parallel interference cancellation. The results indicate that as the channel coherence time grows, the performance of corresponding single-user system having perfect channel state information can be approached even in an overloaded multiuser system using channel estimation and vanishing pilot overhead. copyright by EURASIP.",
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Vehkaperä, M, Takeuchi, K, Müller, RR & Tanaka, T 2008, Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels. in 16th European Signal Processing Conference, EUSIPCO 2008., 15038437, IEEE Institute of Electrical and Electronic Engineers , European Signal Processing Conference, vol. 16, 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne, Switzerland, 25/08/08.

Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels. / Vehkaperä, Mikko; Takeuchi, Keigo; Müller, Ralf R.; Tanaka, Toshiyuki.

16th European Signal Processing Conference, EUSIPCO 2008. IEEE Institute of Electrical and Electronic Engineers , 2008. 15038437 (European Signal Processing Conference, Vol. 16).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels

AU - Vehkaperä, Mikko

AU - Takeuchi, Keigo

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PY - 2008/12/1

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N2 - Large system analysis of a randomly spread direct-sequence code-division multiple-access system in a frequency-selective channel is considered. The receiver uses iterative channel estimation and multiuser detection (MUD) with soft feedback from single-user decoders to refine both the decisions of the linear minimum mean square error (LMMSE) MUD, and the initial pilot-based estimates of the LMMSE channel estimator. Replica method, a tool from statistical physics, and density evolution with Gaussian approximation are used to obtain the asymptotic performance of the LMMSE MUD with soft parallel interference cancellation. The results indicate that as the channel coherence time grows, the performance of corresponding single-user system having perfect channel state information can be approached even in an overloaded multiuser system using channel estimation and vanishing pilot overhead. copyright by EURASIP.

AB - Large system analysis of a randomly spread direct-sequence code-division multiple-access system in a frequency-selective channel is considered. The receiver uses iterative channel estimation and multiuser detection (MUD) with soft feedback from single-user decoders to refine both the decisions of the linear minimum mean square error (LMMSE) MUD, and the initial pilot-based estimates of the LMMSE channel estimator. Replica method, a tool from statistical physics, and density evolution with Gaussian approximation are used to obtain the asymptotic performance of the LMMSE MUD with soft parallel interference cancellation. The results indicate that as the channel coherence time grows, the performance of corresponding single-user system having perfect channel state information can be approached even in an overloaded multiuser system using channel estimation and vanishing pilot overhead. copyright by EURASIP.

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Vehkaperä M, Takeuchi K, Müller RR, Tanaka T. Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels. In 16th European Signal Processing Conference, EUSIPCO 2008. IEEE Institute of Electrical and Electronic Engineers . 2008. 15038437. (European Signal Processing Conference, Vol. 16).