Optimal training for MIMO frequency-selective fading channels

Xiaoli Ma, Liuqing Yang, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

High data rates give rise to frequency-selective channel effects. Space-time multiplexing and/or coding offer attractive means of combating fading, and boosting capacity of multi-antenna communications. As the number of antennas increases, channel estimation becomes challenging because the number of unknowns increases, and the power is split at the transmitter. In this paper, we design a low complexity optimal training scheme for block transmissions over frequency-selective channels with multiple antennas. The optimality in designing our training schemes consists of maximizing a lower bound on the average capacity that is shown to be equivalent to minimizing the mean-square error of the linear channel estimator. Simulation results confirm our theoretical analysis.

Original languageEnglish (US)
Pages (from-to)1107-1111
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - Dec 1 2002

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