Matrix analysis
Topics in matrix analysis
SIAM Review
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Precoding and Signal Shaping for Digital Transmission
Precoding and Signal Shaping for Digital Transmission
A Regularized Robust Design Criterion for Uncertain Data
SIAM Journal on Matrix Analysis and Applications
Convex Optimization
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Robust QoS-constrained optimization of downlink multiuser MISO systems
IEEE Transactions on Signal Processing
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A competitive minimax approach to robust estimation of random parameters
IEEE Transactions on Signal Processing
Worst-case MSE precoder design for imperfectly known MIMO communications channels
IEEE Transactions on Signal Processing - Part I
Robust MSE equalizer design for MIMO communication systems in the presence of model uncertainties
IEEE Transactions on Signal Processing
Downlink MMSE Transceiver Optimization for Multiuser MIMO Systems: Duality and Sum-MSE Minimization
IEEE Transactions on Signal Processing
Downlink MMSE Transceiver Optimization for Multiuser MIMO Systems: MMSE Balancing
IEEE Transactions on Signal Processing - Part I
Statistically Robust Design of Linear MIMO Transceivers
IEEE Transactions on Signal Processing - Part I
Network coordination for spectrally efficient communications in cellular systems
IEEE Wireless Communications
IEEE Transactions on Wireless Communications
Precoding in multiantenna and multiuser communications
IEEE Transactions on Wireless Communications
Optimization of the MIMO Compound Capacity
IEEE Transactions on Wireless Communications
Combining beamforming and orthogonal space-time block coding
IEEE Transactions on Information Theory
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
On the Design of Linear Transceivers for Multiuser Systems with Channel Uncertainty
IEEE Journal on Selected Areas in Communications
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
Linear transmission for rate optimization in MIMO broadcast channels
IEEE Transactions on Wireless Communications
Hi-index | 35.69 |
We study robust transceiver optimization in a down-link, multiuser, wireless system, where the transmitter and the receivers are equipped with antenna arrays. The robustness is defined with respect to imperfect knowledge of the channel at the transmitter. The errors in the channel state information are assumed to be bounded, and certain quality-of-service targets in terms of mean-square errors (MSEs) are guaranteed for all channels from the uncertainty regions. Iterative algorithms are proposed for the transceiver design. The iterations perform alternating optimization of the transmitter and the receivers and have equivalent semidefinite programming representations with efficient numerical solutions. The framework supports robust counterparts of several MSE-optimization problems, including transmit power minimization with per-user or per-stream MSE constraints, sum MSE minimization, min-max fairness, etc. Although the convergence to the global optimum cannot be claimed due to the intricacy of the problems, numerical examples show good practical performance of the presented methods. We also provide various possibilities for extensions in order to accommodate a broader set of scenarios regarding the precoder structure, the uncertainty modeling, and a multicellular setup.