Computer Science – Information Theory
Scientific paper
2011-11-29
Computer Science
Information Theory
30 pages, 6 figures, Submitted to TWC; Trans. Wireless Communications 2011
Scientific paper
In this paper, optimal linear transceiver designs for multi-hop amplify-and-forward (AF) Multiple-input Multiple-out (MIMO) relaying systems with Gaussian distributed channel estimation errors are investigated. Some commonly used transceiver design criteria such as weighted mean-square-error (MSE) minimization, mutual information maximization, worst MSE/MAX-MSE minimization and weighted sum-rate maximization, are taken into a single matrix-variate optimization problem. Exploiting majorization theory and properties of matrix-variate functions, the optimal structures of robust transceivers are derived. Based on the optimal structures, the original transceiver design problems are reduced to much simpler problems with only scalar variables whose solutions are readily obtained by iterative water-filling algorithms. A number of existing transceiver design algorithms are found to be special cases of the proposed solution. The performance advantages of the proposed robust designs are demonstrated by the simulation results.
Fei Zesong
Kuang Jingming
Ma Shaodan
Wu Yik-Chung
Xing Chengwen
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