Topics in matrix analysis
Convex Optimization
Robust downlink power control in wireless cellular systems
EURASIP Journal on Wireless Communications and Networking - Special issue on multiuser MIMO networks
Approximation Bounds for Quadratic Optimization with Homogeneous Quadratic Constraints
SIAM Journal on Optimization
IEEE Transactions on Signal Processing
Robust QoS-constrained optimization of downlink multiuser MISO systems
IEEE Transactions on Signal Processing
Joint beamforming and power control for multiantenna relay broadcast channel with QoS constraints
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Linear precoding via conic optimization for fixed MIMO receivers
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing - Part II
Robust adaptive beamforming for general-rank signal models
IEEE Transactions on Signal Processing
MIMO Relaying With Linear Processing for Multiuser Transmission in Fixed Relay Networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Coded cooperation in wireless communications: space-time transmission and iterative decoding
IEEE Transactions on Signal Processing
Transmit beamforming for physical-layer multicasting
IEEE Transactions on Signal Processing - Part I
Linear Transceiver Design in Nonregenerative Relays With Channel State Information
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Optimal Design of Non-Regenerative MIMO Wireless Relays
IEEE Transactions on Wireless Communications
Robust Downlink Beamforming Based on Outage Probability Specifications
IEEE Transactions on Wireless Communications
How much training is needed in multiple-antenna wireless links?
IEEE Transactions on Information Theory
On the capacity of MIMO relay channels
IEEE Transactions on Information Theory
Capacity bounds and power allocation for wireless relay channels
IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks
IEEE Transactions on Information Theory
Using Orthogonal and Quasi-Orthogonal Designs in Wireless Relay Networks
IEEE Transactions on Information Theory
Fading relay channels: performance limits and space-time signal design
IEEE Journal on Selected Areas in Communications
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
Joint receive-transmit beamforming for multi-antenna relaying schemes
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Novel precoded relay-assisted algorithm for cellular systems
EURASIP Journal on Wireless Communications and Networking
Hi-index | 35.69 |
The problem of designing multiple-input-multiple-output (MIMO) relay for multipoint to multipoint communication in wireless networks has been dealt with by considering the fact that only the imperfect channel state information (CSI) is available at the MIMO relay. In particular, assuming that the second-order terms of the uncertainties of the source-relay and relay-destination channels are negligible, we design an amplify-and-forward (AF) MIMO relay that provides robustness against channel uncertainties. In our proposed robust method, the objective is to design the MIMO relay in which the worst-case relay transmit power is minimized by keeping the worst-case signal-to-interference-and-noise ratio (SINR) for all destinations above a certain threshold value. This paper shows that the aforementioned problem is nonconvex but it can be relaxed to a convex problem consisting of second-order cone (SOC) and semidefinite cone constraints using the semidefinite relaxation technique. The optimal solution of the relaxed problem is utilized to generate the best approximate solution of the original nonconvex problem using the well-known randomization technique. Computer simulations verify the robustness of the proposed MIMO relay when compared to the nonrobust MIMO relay.