Convex Optimization
Fundamentals of wireless communication
Fundamentals of wireless communication
Random matrix theory and wireless communications
Communications and Information Theory
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
IEEE Transactions on Signal Processing
Joint bit allocation and precoding for MIMO systems with decision feedback detection
IEEE Transactions on Signal Processing
Designing MIMO communication systems: constellation choice and linear transceiver design
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
Statistically Robust Design of Linear MIMO Transceivers
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Information Theory
Multiple-input-multiple-output measurements and modeling in Manhattan
IEEE Journal on Selected Areas in Communications
A design framework for limited feedback MIMO systems with zero-forcing DFE
IEEE Journal on Selected Areas in Communications
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The decision feedback (DF) transceiver, combining linear precoding and DF equalization, can establish point-to-point communication over a wireless multiple-input multiple-output channel. Matching the DF-transceiver design parameters to the channel characteristics can improve system performance, but requires channel knowledge. We consider the fast-fading channel scenario, with a receiver capable of tracking the channel-state variations accurately, while the transmitter only has long-term, channel-distribution information. The receiver design problem given channel-state information is well studied in the literature. We focus on transmitter optimization, which amounts to designing a statistical precoder to assist the channel-tailored DF equalizer. We develop a design framework that encompasses a wide range of performance metrics. Common cost functions for precoder optimization are analyzed, thereby identifying a structure of typical cost functions. Transmitter design is approached for typical cost functions in general, and we derive a precoder design formulation as a convex optimization problem. Two important subclasses of cost functions are considered in more detail. First, we explore a symmetry of DF transceivers with a uniform subchannel rate allocation, and derive a simplified convex optimization problem, which can be efficiently solved even as system dimensions grow. Second, we explore the tractability of a certain class of mean square error based cost functions, and solve the transmitter design problem with a simple algorithm that identifies the convex hull of a set of points in R2. The behavior of DF transceivers with optimal precoders is investigated by numerical means.