An interior-point method for generalized linear-fractional programming
Mathematical Programming: Series A and B
Precoding and Signal Shaping for Digital Transmission
Precoding and Signal Shaping for Digital Transmission
Primal-Dual Interior-Point Methods for Self-Scaled Cones
SIAM Journal on Optimization
Robust Solutions to Uncertain Semidefinite Programs
SIAM Journal on Optimization
Robust Solutions of Uncertain Quadratic and Conic-Quadratic Problems
SIAM Journal on Optimization
Convex Optimization
Robust downlink power control in wireless cellular systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Tractable Approximations to Robust Conic Optimization Problems
Mathematical Programming: Series A and B
IEEE Transactions on Signal Processing
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Multiple Antenna Broadcast Channels With Shape Feedback and Limited Feedback
IEEE Transactions on Signal Processing - Part I
Downlink MMSE Transceiver Optimization for Multiuser MIMO Systems: Duality and Sum-MSE Minimization
IEEE Transactions on Signal Processing
Iterative multiuser uplink and downlink beamforming under SINR constraints
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Precoding in multiantenna and multiuser communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Robust Downlink Beamforming Based on Outage Probability Specifications
IEEE Transactions on Wireless Communications
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
Transmit beamforming and power control for cellular wireless systems
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Multi-Antenna Downlink Channels with Limited Feedback and User Selection
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
IEEE Transactions on Signal Processing
Robust QoS-constrained optimization of downlink multiuser MISO systems
IEEE Transactions on Signal Processing
Robust THP transceiver designs for multiuser MIMO downlink with imperfect CSIT
EURASIP Journal on Advances in Signal Processing - Multiuser MIMO Transmission with Limited Feedback, Cooperation, and Coordination
Hi-index | 35.69 |
We consider the downlink of a cellular system in which the base station employs multiple transmit antennas, each receiver has a single antenna, and the users specify certain quality of service (QoS) requirements. We study the design of robust broadcasting schemes that minimize the transmission power necessary to guarantee that the QoS requirements are satisfied for all channels within bounded uncertainty regions around the transmitter's estimate of each user's channel. Each user's QoS requirement is formulated as a constraint on the mean square error (MSE) in its received signal, and we show that these MSE constraints imply constraints on the received signal-to-interference-plus-noise ratio. Using the MSE constraints, we present a unified approach to the design of linear and nonlinear transceivers with QoS requirements that must be satisfied in the presence of bounded channel uncertainty. The proposed designs overcome the limitations of existing approaches that provide conservative designs or are only applicable to the case of linear precoding. Furthermore, we provide computationally efficient design formulations for a rather general model of bounded channel uncertainty that subsumes many natural choices for the uncertainty region. We also consider the problem of the robust counterpart to precoding schemes that maximize the fidelity of the weakest user's signal subject to a power constraint. For this problem, we provide quasi-convex formulations, for both linear and nonlinear transceivers, that can be efficiently solved using a one-dimensional bisection search. Our numerical results demonstrate that in the presence of bounded uncertainty in the transmitter's knowledge of users' channels, the proposed designs provide guarantees for a larger range of QoS requirements than the existing approaches that are based on bounded channel uncertainty models and require less transmission power to provide these guarantees.