Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels

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

Research output: Contribution to conferencePaper

Abstract

We study the information rates of non-coherent, stationary, Gaussian, multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbor decoding and pilot-aided channel estimation. In particular, we investigate the behavior of these achievable rates in the limit as the signal- to-noise ratio (SNR) tends to infinity by analyzing the capacity pre-log, which is defined as the limiting ratio of the capacity to the logarithm of the SNR as the SNR tends to infinity. We demonstrate that a scheme estimating the channel using pilot symbols and detecting the message using nearest neighbor decoding (while assuming that the channel estimation is perfect) essentially achieves the capacity pre-log of non-coherent multiple-input single-output flat-fading channels, and it essentially achieves the best so far known lower bound on the capacity pre-log of non-coherent MIMO flat-fading channels. We then extend our analysis to the multiple-access channel.
Original languageEnglish
Publication statusPublished - 2014
Event2011 IEEE International Symposium on Information Theory Proceedings - St. Petersburg, Russian Federation
Duration: 31 Jul 20115 Aug 2011

Conference

Conference2011 IEEE International Symposium on Information Theory Proceedings
Abbreviated titleISIT 2011
CountryRussian Federation
CitySt. Petersburg
Period31/07/115/08/11

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    Asyhari, A. T., Koch, T., & Fàbregas, A. G. I. (2014). Nearest Neighbor Decoding and Pilot-Aided Channel Estimation for Fading Channels. Paper presented at 2011 IEEE International Symposium on Information Theory Proceedings, St. Petersburg, Russian Federation.