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On an Achievable Rate of Large Rayleigh Block-Fading MIMO Channels With No CSI
University of Electro-Communications, Department of Communication Engineering and Informatics.
University Erlangen-Nürnberg.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Department of Systems Science, Kyoto University.
2013 (English)In: IEEE Transactions on Information Theory, ISSN 0018-9448, Vol. 59, no 10, 6517-6541 p.Article in journal (Refereed) Published
Abstract [en]

Training-based transmission over Rayleigh block-fading multiple-input multiple-output (MIMO) channels is investigated. As a training method a combination of a pilot-assisted scheme and a biased signaling scheme is considered. The achievable rates of successive decoding (SD) receivers based on the linear minimum mean-squared error (LMMSE) channel estimation are analyzed in the large-system limit, by using the replica method under the assumption of replica symmetry. It is shown that negligible pilot information is best in terms of the achievable rates of the SD receivers in the large-system limit. The obtained analytical formulas of the achievable rates can improve the existing lower bound on the capacity of the MIMO channel with no channel state information (CSI), derived by Hassibi and Hochwald, for all SNRs. The comparison between the obtained bound and a high-SNR approximation of the channel capacity, derived by Zheng and Tse, implies that the high-SNR approximation is unreliable unless quite high SNR is considered. Energy efficiency in the low-SNR regime is also investigated in terms of the power per information bit required for reliable communication. The required minimum power is shown to be achieved at a positive rate for the SD receiver with no CSI, whereas it is achieved in the zero-rate limit for the case of perfect CSI available at the receiver. Moreover, numerical simulations imply that the presented large-system analysis can provide a good approximation for not so large systems. The results in this paper imply that SD schemes can provide a significant performance gain in the low-to-moderate SNR regimes, compared to conventional receivers based on one-shot channel estimation.

Place, publisher, year, edition, pages
2013. Vol. 59, no 10, 6517-6541 p.
Keyword [en]
Biased signaling, large-system analysis, linear minimum mean-squared error (LMMSE) channel estimation, multiple-input multiple-output (MIMO) systems, noncoherent capacity, Rayleigh block-fading channels, replica method, successive decoding (SD), training-based transmission
National Category
URN: urn:nbn:se:kth:diva-131416DOI: 10.1109/TIT.2013.2268848ISI: 000324573500022ScopusID: 2-s2.0-84881134660OAI: diva2:656062
Swedish Research Council

QC 20131018

Available from: 2013-10-14 Created: 2013-10-14 Last updated: 2013-10-18Bibliographically approved

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