Maximum mutual information design for amplify-and-forward multi-hop MIMO relaying systems under channel uncertainties

Chengwen Xing*, Zesong Fei, Shaodan Ma, Jingming Kuang, Yik Chung Wu

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, we investigate maximum mutual information design for multi-hop amplify-and-forward (AF) multiple-input multiple-out (MIMO) relaying systems with imperfect channel state information, i.e., Gaussian distributed channel estimation errors. The robust design is formulated as a matrix-variate optimization problem. Exploiting the elegant properties of Majorization theory and matrix-variate functions, the optimal structures of the forwarding matrices at the relays and precoding matrix at the source are derived. Based on the derived structures, a water-filling solution is proposed to solve the remaining unknown variables.

Original languageEnglish
Title of host publication2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Pages781-786
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE Wireless Communications and Networking Conference, WCNC 2012 - Paris, France
Duration: 1 Apr 20124 Apr 2012

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2012 IEEE Wireless Communications and Networking Conference, WCNC 2012
Country/TerritoryFrance
CityParis
Period1/04/124/04/12

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