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Optimization of Secrecy Rate Aided by RIS in Underlay Cognitive Networks

Shuqi Liu Jiawei Ji Yulong Shang Cuimei Cui Shuyan Xiao Lei Zhang Jianjie Tian Zhigang Sun

通信与信息网络学报（英文）2026，Vol.11Issue(1)：110-119,10.

Optimization of Secrecy Rate Aided by RIS in Underlay Cognitive Networks

Shuqi Liu ¹Jiawei Ji ¹Yulong Shang ¹Cuimei Cui ²Shuyan Xiao ¹Lei Zhang ¹Jianjie Tian ¹Zhigang Sun³

作者信息

1. School of Electrical and Information Engineering,Jiangsu University of Technology,Changzhou 213001,China
2. School of Electrical and Information Engineering,Changzhou Institute of Technology,Changzhou 213001,China
3. School of Electrical Engineering and Automation,Harbin In-stitute of Technology,Harbin 150001,China||MOE Key Laboratory of Reliability and Quality Consistency of Electronic Components,Harbin 150001,China
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摘要

关键词

secrecy rate/reconfigurable intelligent sur-face/cognitive networks/convex optimization/semidefinite relaxation

Key words

secrecy rate/reconfigurable intelligent sur-face/cognitive networks/convex optimization/semidefinite relaxation

引用本文复制引用

Shuqi Liu,Jiawei Ji,Yulong Shang,Cuimei Cui,Shuyan Xiao,Lei Zhang,Jianjie Tian,Zhigang Sun..Optimization of Secrecy Rate Aided by RIS in Underlay Cognitive Networks[J].通信与信息网络学报（英文）,2026,11(1):110-119,10.

基金项目

This work was supported in part by the National Natural Science Foundation of China under Grants 62371075 and 624B2046,in part by the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province under Grant 22KJD510004,in part by Fundamental Re-search Funds for the Central Universities under Grant HIT.DZJJ.2024008,and in part by Changzhou Sci Tech Programme under Grants CJ20235057,CJ20235063,and CJ20235051. （）

通信与信息网络学报（英文）

ISSN：2096-1081

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