Nearest neighbour decoding and pilot-aided channel estimation in stationary Gaussian flat-fading channels

A. Taufiq Asyhari; Tobias Koch; Albert Guillén I Fàbregas

doi:10.1109/ISIT.2011.6034081

Nearest neighbour decoding and pilot-aided channel estimation in stationary Gaussian flat-fading channels

A. Taufiq Asyhari, Tobias Koch, Albert Guillén I Fàbregas

University of Cambridge

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

11 Citations (Scopus)

Abstract

We study the information rates of non-coherent, stationary, Gaussian, multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbour decoding and pilot-aided channel estimation. In particular, we analyse the behaviour of these achievable rates in the limit as the signal-to-noise ratio (SNR) tends to infinity. We demonstrate that nearest neighbour decoding and pilot-aided channel estimation achieves the capacity pre-logwhich is defined as the limiting ratio of the capacity to the logarithm of SNR as the SNR tends to infinityof non-coherent multiple-input single-output (MISO) flat-fading channels, and it achieves the best so far known lower bound on the capacity pre-log of non-coherent MIMO flat-fading channels.

Original language	English
Title of host publication	2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011
Publisher	IEEE
Pages	2786-2790
Number of pages	5
ISBN (Electronic)	9781457705953
ISBN (Print)	9781457705960
DOIs	https://doi.org/10.1109/ISIT.2011.6034081
Publication status	Published - 26 Oct 2011
Externally published	Yes
Event	2011 IEEE International Symposium on Information Theory - St. Petersburg, Russian Federation Duration: 31 Jul 2011 → 5 Aug 2011

Conference

Conference	2011 IEEE International Symposium on Information Theory
Abbreviated title	ISIT 2011
Country/Territory	Russian Federation
City	St. Petersburg
Period	31/07/11 → 5/08/11

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modelling and Simulation
Applied Mathematics

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10.1109/ISIT.2011.6034081

Cite this

Nearest neighbour decoding and pilot-aided channel estimation in stationary Gaussian flat-fading channels. / Asyhari, A. Taufiq; Koch, Tobias; Fàbregas, Albert Guillén I.
2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011. IEEE, 2011. p. 2786-2790 6034081.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Asyhari, AT, Koch, T & Fàbregas, AGI 2011, Nearest neighbour decoding and pilot-aided channel estimation in stationary Gaussian flat-fading channels. in 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011., 6034081, IEEE, pp. 2786-2790, 2011 IEEE International Symposium on Information Theory, St. Petersburg, Russian Federation, 31/07/11. https://doi.org/10.1109/ISIT.2011.6034081

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abstract = "We study the information rates of non-coherent, stationary, Gaussian, multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbour decoding and pilot-aided channel estimation. In particular, we analyse the behaviour of these achievable rates in the limit as the signal-to-noise ratio (SNR) tends to infinity. We demonstrate that nearest neighbour decoding and pilot-aided channel estimation achieves the capacity pre-logwhich is defined as the limiting ratio of the capacity to the logarithm of SNR as the SNR tends to infinityof non-coherent multiple-input single-output (MISO) flat-fading channels, and it achieves the best so far known lower bound on the capacity pre-log of non-coherent MIMO flat-fading channels.",

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AB - We study the information rates of non-coherent, stationary, Gaussian, multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbour decoding and pilot-aided channel estimation. In particular, we analyse the behaviour of these achievable rates in the limit as the signal-to-noise ratio (SNR) tends to infinity. We demonstrate that nearest neighbour decoding and pilot-aided channel estimation achieves the capacity pre-logwhich is defined as the limiting ratio of the capacity to the logarithm of SNR as the SNR tends to infinityof non-coherent multiple-input single-output (MISO) flat-fading channels, and it achieves the best so far known lower bound on the capacity pre-log of non-coherent MIMO flat-fading channels.

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Nearest neighbour decoding and pilot-aided channel estimation in stationary Gaussian flat-fading channels

Abstract

Conference

ASJC Scopus subject areas

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