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

Vehkapera M, Takeuchi K, Müller R, Tanaka T (2009)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2009

Pages Range: 2689-2693

Article Number: 5205887

Event location: Seoul KR

ISBN: 9781424443130

DOI: 10.1109/ISIT.2009.5205887

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.

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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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