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- W4360996553 abstract "This work exploits the potential of a novel simultaneous transmission and reflection reconfigurable intelligent surface (STAR-RIS) in improving the communication quality in a cognitive radio (CR) network. The STAR-RIS employs the time switching (TS) protocol. The objective is to minimize the total power consumption of the secondary users (SUs) by jointly optimizing the power allocation at the SUs and STAR-beamforming vectors at the STAR-RIS. To solve the formulated non-convex problem, we first transform the problem into a semi-definite program (SDP). Then, we propose Gaussian randomization and successive convex approximation (SCA) methods to obtain rank-one solutions to the problem. The simulation results validate that the total power consumption of the SUs is dramatically decreased by our proposed algorithms." @default.
- W4360996553 created "2023-03-30" @default.
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- W4360996553 date "2022-11-11" @default.
- W4360996553 modified "2023-09-24" @default.
- W4360996553 title "STAR-RIS Enhanced Cognitive Radio Networks" @default.
- W4360996553 doi "https://doi.org/10.1109/icct56141.2022.10072803" @default.
- W4360996553 hasPublicationYear "2022" @default.
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