Iterative channel and data estimation: Framework and analysis via replica method

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autorinnen und Autoren: Vehkapera M, Takeuchi K, Müller R, Tanaka T
Herausgeber: IEEE
Jahr der Veröffentlichung: 2009
Seitenbereich: 2689-2693
ISBN: 9781424443130
ISSN: 2157-8117
Sprache: Englisch


Abstract

The large system analysis of a randomly spread direct-sequence code-division multiple-access system operating over a frequency-selective fading channel is considered. Iterative multiuser detection and decoding based on generalized posterior mean estimation and interference cancellation is assumed. The channel is mismatched and provided by a linear estimator whose initial pilot-based decisions are iteratively refined by using a feedback from the single-user decoders. By an application of the replica method, a tool from statistical physics, and density evolution with Gaussian approximation, we show that the performance metrics of the considered multiuser system converge in distribution at the large system limit to that of a simple singleuser system operating over a flat fading channel. We also give the exact result of the hard decision feedback based channel estimator analyzed approximately by Li et al. (2007). © 2009 IEEE.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

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


Einrichtungen weiterer Autorinnen und Autoren

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)


Zitierweisen

APA:
Vehkapera, M., Takeuchi, K., Müller, R., & Tanaka, T. (2009). Iterative channel and data estimation: Framework and analysis via replica method. In IEEE (Eds.), Proceedings of the 2009 IEEE International Symposium on Information Theory, ISIT 2009 (pp. 2689-2693). Seoul, KR.

MLA:
Vehkapera, Mikko, et al. "Iterative channel and data estimation: Framework and analysis via replica method." Proceedings of the 2009 IEEE International Symposium on Information Theory, ISIT 2009, Seoul Ed. IEEE, 2009. 2689-2693.

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