Robust MIMO Precoding for Several Classes of Channel Uncertainty

• Published in: IEEE transactions on signal processing Vol. 61; no. 12; pp. 3056 - 3070
• Main Authors: Wang, Jiaheng, Bengtsson, Mats, Ottersten, Bjorn, Palomar, aniel P.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Array signal processing; Channels; Coding, codes; Communication systems; Convex functions; Convex uncertainty set; Design engineering; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; imperfect CSIT; Information, signal and communications theory; Mathematical analysis; Mathematical models; maximin; MIMO; minimax; Norms; Optimization; Phase shift keying; Power transmission; Precoding; Resource management; Robustness; saddle point; Schatten norm; Signal and communications theory; Signal to noise ratio; Signal, noise; Studies; Telecommunications and information theory; Transmitters; Uncertainty; unitarily-invariant uncertainty set; worst-case robustness; Parameter estimation; Convex set; Error probability; Worst case method; Power transmission; Transmitter; Closed form equation; Power allocation; Convex programming; Beam forming; unitarily-invariant uncertainty set; imperfect CSIT; Coding; Channel estimation; saddle point; Robustness; MIMO; Pretreatment; Deterministic approach; minimax; MIMO system; Maximin problem; Coding circuit; Channel structure; Convex uncertainty set; worst-case robustness; maximin; Telecommunication system; Minimax method; Signal processing; Schatten norm; Signal to noise ratio

The full potential of multi-input multi-output (MIMO) communication systems relies on exploiting channel state information at the transmitter (CSIT), which is, however, often subject to some uncertainty. In this paper, following the worst-case robust philosophy, we consider a robust MIMO precoding d...