Citation: | ZHANG Lei, WANG Yu, SHANG Yulong, et al., “Robust Beamforming Design for IRS-Aided Cognitive Radio Networks with Bounded CSI Errors,” Chinese Journal of Electronics, in press, doi: 10.23919/cje.2021.00.254, 2022. |
In this paper, intelligent reflecting surface (IRS) is introduced to enhance the performance of cognitive radio (CR) systems. The robust beamforming is designed based on combined bounded channel state information (CSI) error for primary user (PU) related channels. The transmit precoding at the secondary user (SU) transmitter and phase shifts at the IRS are jointly optimized to minimize the SU's total transmit power subject to the quality of service of SUs, the limited interference imposed on the PU and unit-modulus of the reflective beamforming. Simulation results verify the efficiency of the proposed algorithm and reveal that the number of phase shifts at IRS should be carefully chosen to obtain a tradeoff between the total minimum transmit power and the feasibility rate of the optimization problem.
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