Robust joint transceiver beamforming for cognitive radio network

Abstract

This paper considers the spectrum sharing multiple-input multiple-output (MIMO) cognitive radio network, in which multiple primary users (PUs) coexist with multiple secondary users (SUs). Joint transceiver cognitive beamforming design is introduced to minimize the transmit power of the SU base station (SBS) while simultaneously targeting lower bounds on the received signal-to-interference-plus-noise ratio (SINR) for the SUs and imposing upper limits on the interference temperature to the PUs. With the perfect knowledge of all links, the optimal secondary transceiver beamforming is obtained iteratively. Due to the limited cooperation between SBS and PUs, perfect information of primary links may not be available at SBS which could lead to severe interference to the PUs. Robust design is developed against the uncertainties in the primary links by keeping the interference to the PU below a pre-specified threshold with high probability. Simulation results are presented to validate the effectiveness of the proposed algorithms.