Performance limits of massive MIMO systems based on Bayes-optimal inference

Wen CK, Wu Y, Wong KK, Schober R, Ting P (2015)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2015

Event location: London GB

ISBN: 978-1-4673-6432-4

DOI: 10.1109/ICC.2015.7248583

Abstract

This paper gives a replica analysis for the minimum mean square error (MSE) of a massive multiple-input multipleoutput (MIMO) system by using Bayesian inference. The Bayesoptimal estimator is adopted to estimate the data symbols and the channels from a block of received signals in the spatial-temporal domain. We show that using the Bayes-optimal estimator, the interfering signals from adjacent cells can be separated from the received signals without pilot information of the interfering signals. In addition, the MSEs with respect to the data symbols and the channels of the desired users decrease with the number of receive antennas and the number of data symbols, respectively. There are no residual interference terms that remain bounded away from zero as the numbers of receive antennas and data symbols approach infinity.

Authors with CRIS profile

Yongpeng Wu Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

University of London GB United Kingdom (GB) Industrial Technology Research Institute of Taiwan (ITRI) TW Taiwan (TW) National Sun Yat-sen University TW Taiwan (TW)

How to cite

APA:

Wen, C.-K., Wu, Y., Wong, K.-K., Schober, R., & Ting, P. (2015). Performance limits of massive MIMO systems based on Bayes-optimal inference. In IEEE (Eds.), Proceedings of the 2015 IEEE International Conference on Communications (ICC). London, GB.

MLA:

Wen, Chao-Kai, et al. "Performance limits of massive MIMO systems based on Bayes-optimal inference." Proceedings of the 2015 IEEE International Conference on Communications (ICC), London Ed. IEEE, 2015.

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