Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems with Imperfect Cascaded CSI

Zhang, Lei, Pan, Cunhua, Wang, Yu, Ren, Hong and Wang, Kezhi (2022) Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems with Imperfect Cascaded CSI. IEEE Transactions on Cognitive Communications and Networking, 8 (1). pp. 186-201. ISSN 2372-2045

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In this paper, intelligent reflecting surface (IRS) is introduced to enhance the network performance of cognitive radio (CR) systems. Specifically, we investigate robust beamforming design based on both bounded channel state information (CSI) error model and statistical CSI error model for primary user (PU)-related channels in IRS-aided CR systems. We jointly optimize the transmit precoding (TPC) at the secondary user (SU) transmitter (ST) and phase shifts at the IRS to minimize the ST’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. The successive convex approximation (SCA) method, Schur’s complement, General sign-definiteness principle, inverse Chi-square distribution and penalty convex-concave procedure are invoked for dealing with these intricate constraints. The non-convex optimization problems are transformed into several convex subproblems and efficient algorithms are proposed. Simulation results verify the efficiency of the proposed algorithms and reveal the impacts of CSI uncertainties on ST’s minimum transmit power and feasibility rate of the optimization problems. Simulation results also show that the number of transmit antennas at the ST and the number of phase shifts at the IRS should be carefully chosen to balance the channel realization feasibility rate and the total transmit power.

Item Type: Article
Additional Information: Funding information: National Key Research and Development Project (Grant Number: 2019YFE0123600) The open research fund of National Mobile Communications Research LaboratorySoutheast University (Grant Number: 2019D17 and 2021D14) Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (Grant Number: 19KJB510026) Jiangsu Overseas Visiting Scholar Program for University Prominent Young and Middleaged Teachers and Presidents 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61701202 and 61901196)
Uncontrolled Keywords: cognitive radio, robust beamforming design, intelligent reflecting surface, Reconfigurable intelligent surface
Subjects: G400 Computer Science
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 08 Sep 2021 08:27
Last Modified: 28 Mar 2022 15:00

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