Optimized training and feedback for MIMO downlink channels

Mari Kobayashi, Nihar Jindal, Giuseppe Caire

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

9 Scopus citations

Abstract

We consider a MIMO fading broadcast channel where channel state information is acquired at user terminals via downlink training and channel feedback is used to provide transmitter channel state information (CSIT) to the base station. The feedback channel (the corresponding uplink) is modeled as an AWGN channel, orthogonal across users. The total bandwidth consumed is the sum of the bandwidth/resources used for downlink training, channel feedback, and data transmission. Assuming that the channel follows a block fading model and that zeroforcing beamforming is used, we optimize the net achievable rate for unquantized (analog) and quantized (digital) channel feedback. The optimal number of downlink training pilots is seen to be essentially the same for both feedback techniques, but digital feedback is shown to provide a larger net rate than analog eedback.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE Information Theory Workshop on Networking and Information Theory, ITW 2009
Pages226-230
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Information Theory Workshop on Networking and Information Theory, ITW 2009 - Volos, Greece
Duration: 10 Jun 200912 Jun 2009

Publication series

NameProceedings - 2009 IEEE Information Theory Workshop on Networking and Information Theory, ITW 2009

Conference

Conference2009 IEEE Information Theory Workshop on Networking and Information Theory, ITW 2009
Country/TerritoryGreece
CityVolos
Period10/06/0912/06/09

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