Reduced entropy parameterization of MIMO channel matrices for finite-rate feedback

Christian Guthy, Alexander Krebs, Wolfgang Utschick

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

Abstract

By using perfect Channel State Information (CSI) at the transmitter significant gains in terms of sum rate can be obtained in the Multiple-Input Multiple-Output (MIMO) broadcast channel. In practice the links from the users to the transmitters allow only a limited amount of feedback for the CSI, which requires efficient compression schemes at the receivers. In this paper we consider the representation of Gaussian channel matrices by scalar parameters, which are quantized and fed back to the transmitter. This way also the numerically complex vector quantization can be avoided. A novel parameterization is presented which reduces the differential entropy of the parameters and improves the performance of the data transmission in the downlink compared to a state-of-the-art approach.

Original languageEnglish
Title of host publication2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
Pages374-378
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009 - Perugia, Italy
Duration: 21 Jun 200924 Jun 2009

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2009
Country/TerritoryItaly
CityPerugia
Period21/06/0924/06/09

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