Robust Optimization for Amplify-and-Forward MIMO Relaying From a Worst-Case Perspective

In this paper, we consider robust optimization of amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay precoders in presence of deterministic imperfect channel state information (CSI), when the CSI uncertainty lies in a norm bounded region. Two widely used performance metrics, mutual...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 61; no. 21; pp. 5458 - 5471
Main Authors:	Hong Shen, Jiaheng Wang, Levy, Bernard C., Chunming Zhao
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.11.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Amplification Applied sciences Coding, codes Detection, estimation, filtering, equalization, prediction Exact sciences and technology Imperfect channel state information (CSI) Information, signal and communications theory Mathematical analysis Mathematical models mean square error (MSE) Mean square errors MIMO Minimax technique multiple-input multiple-output (MIMO) cooperative transmission mutual information (MI) Optimization Relay relay precoding Relays Robustness Saddle points Signal and communications theory Signal, noise Telecommunications and information theory Transceivers Uncertainty worst-case robust design Performance evaluation multiple-input multiple-output (MIMO) cooperative transmission Relaying Parameter estimation Relay Imperfect channel state information (CSI) Worst case method mutual information (MI) Closed form equation Optimization Mean square error Channel estimation mean square error (MSE) Routing protocols Robustness Deterministic approach MIMO system Maximin problem Coding circuit Eigenmode Channel structure Transmission protocol relay precoding Saddle point Minimax method Signal processing Metric Reliability worst-case robust design Mutual information
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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