Robust beamforming for amplify-and-forward MIMO relay systems based on quadratic matrix programming

In this paper, robust transceiver design based on minimum-mean-square-error (MMSE) criterion for dual-hop amplify-and-forward MIMO relay systems is investigated. The channel estimation errors are modeled as Gaussian random variables, and then the effect are incorporated into the robust transceiver b...

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Bibliographic Details
Main Authors: Chengwen Xing, Shaodan Ma, Yik-Chung Wu, Tung-Sang Ng
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Array signal processing
Bayesian methods
Channel estimation
MIMO
Quadratic programming
Random variables
Relays
Robustness
Transceivers
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Summary:In this paper, robust transceiver design based on minimum-mean-square-error (MMSE) criterion for dual-hop amplify-and-forward MIMO relay systems is investigated. The channel estimation errors are modeled as Gaussian random variables, and then the effect are incorporated into the robust transceiver based on the Bayesian framework. An iterative algorithm is proposed to jointly design the precoder at the source, the forward matrix at the relay and the equalizer at the destination, and the joint design problem can be efficiently solved by quadratic matrix programming (QMP).
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2010.5496038