Search Results for author:
Found 4 papers, 0 papers with code
Robust Adaptive Beamforming via Worst-Case SINR Maximization with Nonconvex Uncertainty Sets
Then a linear matrix inequality (LMI) relaxation for the QMI problem is proposed, with an additional valid linear constraint.
Robust Adaptive Beamforming Maximizing the Worst-Case SINR over Distributional Uncertainty Sets for Random INC Matrix and Signal Steering Vector
The distributional uncertainty set for the steering vector consists of the constraints on the known first- and second-order moments.
Enhanced Robust Adaptive Beamforming Designs for General-Rank Signal Model via an Induced Norm of Matrix Errors
In addition, a generalized RAB problem of maximizing the difference between an $l_p$-norm function and an $l_q$-norm function subject to the convex quadratic constraint is studied, and the actual array output SINR is further enhanced by properly selecting $p$ and $q$.
Robust Downlink Transmit Optimization under Quantized Channel Feedback via the Strong Duality for QCQP
The minimization problem is accordingly turned into a QMI problem, and the problem is solved by a restricted linear matrix inequality relaxation with additional valid convex constraints.
