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

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Vehkaperä M, Takeuchi K, Müller R, Tanaka T
Editor(s): IEEE
Publication year: 2008
ISSN: 2219-5491
Language: English


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.


FAU Authors / FAU Editors

Müller, Ralf Prof. Dr.-Ing.
Professur für Informationsübertragung


External institutions with authors

Kyoto University / 京都大学 Kyōto daigaku
NTNU Trondheim - Norwegian University of Science and Technology
University of Electro-Communications / 電気通信大学 (Denki-Tsūshin Daigaku)


How to cite

APA:
Vehkaperä, M., Takeuchi, K., Müller, R., & Tanaka, T. (2008). Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels. In IEEE (Eds.), Proceedings of the 16th European Signal Processing Conference, EUSIPCO 2008. Lausanne, CH.

MLA:
Vehkaperä, Mikko, et al. "Asymptotic analysis of iterative channel estimation and multiuser detection with soft feedback in multipath channels." Proceedings of the 16th European Signal Processing Conference, EUSIPCO 2008, Lausanne Ed. IEEE, 2008.

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Last updated on 2019-16-07 at 08:38