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.
|Publication status||Published - 2014|
|Event||2011 IEEE International Symposium on Information Theory Proceedings - St. Petersburg, Russian Federation|
Duration: 31 Jul 2011 → 5 Aug 2011
|Conference||2011 IEEE International Symposium on Information Theory Proceedings|
|Abbreviated title||ISIT 2011|
|Period||31/07/11 → 5/08/11|
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.