On the effect of channel estimation error with superimposed training upon information rates

Azadeh Vosoughi, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Adopting affine precoding as the transmission strategy, we investigate the effect of channel estimation error on the mutual information between the input and the output of a frequency selective fading MIMO channel. For Bayesian receivers which perform joint channel and symbol estimation there is asymptotically no loss in information rate. In contrast, for the receivers which obtain the channel estimation and use it to estimate the symbols, the lower bound on information rate is maximized by enforcing a form of orthogonality between symbols and training.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Information Theory - Proceedings
Pages315
Number of pages1
StatePublished - 2004
Externally publishedYes
EventProceedings - 2004 IEEE International Symposium on Information Theory - Chicago, IL, United States
Duration: Jun 27 2004Jul 2 2004

Other

OtherProceedings - 2004 IEEE International Symposium on Information Theory
CountryUnited States
CityChicago, IL
Period6/27/047/2/04

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Vosoughi, A., & Scaglione, A. (2004). On the effect of channel estimation error with superimposed training upon information rates. In IEEE International Symposium on Information Theory - Proceedings (pp. 315)