Joint Sensing and Transmission Optimization for IRS-Assisted Cognitive Radio Networks

• Published in: IEEE transactions on wireless communications Vol. 22; no. 9; p. 1
• Main Authors: Wu, Wei, Wang, Zi, Wu, Yuhang, Zhou, Fuhui, Wang, Baoyun, Wu, Qihui, Ng, Derrick Wing Kwan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Approximation; Array signal processing; Autonomous aerial vehicles; Cognitive radio; Communication networks; Convexity; False alarms; Intelligent reflecting surface; Mathematical analysis; Optimization; sensing-throughput tradeoff; Sensors; Signal to noise ratio; spectrum sensing; Throughput; Wireless communications; Wireless networks; Wireless sensor networks

Cognitive radio (CR) is one of the most disruptive techniques for enabling the next generation wireless communication networks due to its potential in improving the spectral efficiency. In this paper, intelligent reflecting surface (IRS) is exploited to enhance both the accuracy of spectrum sensing...