Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems With Imperfect Cascaded CSI
| العنوان: | Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems With Imperfect Cascaded CSI |
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| المؤلفون: | Hong Ren, Cunhua Pan, Zhang Lei, Yu Wang, Kezhi Wang |
| المصدر: | IEEE Transactions on Cognitive Communications and Networking. 8:186-201 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Signal Processing (eess.SP), Beamforming, Optimization problem, Computer Networks and Communications, Computer science, G400, Transmitter, G900, Data_CODINGANDINFORMATIONTHEORY, Transmitter power output, Precoding, Cognitive radio, Artificial Intelligence, Hardware and Architecture, Channel state information, FOS: Electrical engineering, electronic engineering, information engineering, Electronic engineering, Network performance, Electrical Engineering and Systems Science - Signal Processing, Computer Science::Information Theory |
| الوصف: | 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. Accepted by IEEE Transactions on Cognitive Communications and Networking. Keywords: Reconfigurable Intelligent Surface, Intelligent Reflecting Surface, Cognitive Radio Networks, Robust Design, Imperfect CSI |
| وصف الملف: | application/pdf |
| تدمد: | 2372-2045 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9106d9b487374b84bf808a9bd8f12eab https://doi.org/10.1109/tccn.2021.3107510 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....9106d9b487374b84bf808a9bd8f12eab |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 23722045 |
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