The achievable rate of the training-based MIMO system over time-varying fading channels: A BCRB perspective on channel tracking

Lin Kai Chiu*, Sau-Hsuan Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we study the achievable rate of the training-based multi-input multi-output (MIMO) systems over time-varying flat fading channels modeled with the L-th order autoregressive, AR(L), process. Using the Bayesian Cramér-Rao lower bound (BCRB) to characterize the mean squared error of channel estimation, the achievable rate of the MIMO systems is investigated from the information-theoretical perspective. The optimum lengths for the training and the data blocks are determined to maximize the achievable rate. Besides, by modeling the time-varying wireless fading channel with a proper AR(L) model for the specific normalized Doppler frequency, fdTs, the aforementioned results can be extended to characterize the achievable rate in a more realistic time-varying wireless fading channel.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Communications, ICC 2011
DOIs
StatePublished - 2 Sep 2011
Event2011 IEEE International Conference on Communications, ICC 2011 - Kyoto, Japan
Duration: 5 Jun 20119 Jun 2011

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

Conference2011 IEEE International Conference on Communications, ICC 2011
CountryJapan
CityKyoto
Period5/06/119/06/11

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