Robust Downlink Beamforming in Multiuser MISO Cognitive Radio Networks - Mathematics > Optimization and ControlReportar como inadecuado




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Abstract: This paper studies the problem of robust downlink beamforming design in amultiuser Multi-Input Single-Output MISO Cognitive Radio Network CR-Net inwhich multiple Primary Users PUs coexist with multiple Secondary Users SUs.Unlike conventional designs in CR-Nets, in this paper it is assumed that theChannel State Information CSI for all relevant channels is imperfectly known,and the imperfectness of the CSI is modeled using an Euclidean ball-shapeduncertainty set. Our design objective is to minimize the transmit power of theSU-Transmitter SU-Tx while simultaneously targeting a lower bound on thereceived Signal-to-Interference-plus-Noise-Ratio SINR for the SU-s, andimposing an upper limit on the Interference-Power IP at the PUs. The designparameters at the SU-Tx are the beamforming weights, i.e. the precoder matrix.The proposed methodology is based on a worst case design scenario through whichthe performance metrics of the design are immune to variations in the channels.We propose three approaches based on convex programming for which efficientnumerical solutions exist. Finally, simulation results are provided to validatethe robustness of the proposed methods.



Autor: Ebrahim A. Gharavol, Ying-Chang Liang, Koenraad Mouthaan

Fuente: https://arxiv.org/







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