Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks

Xu D, Yu X, Schober R (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2020-May

Conference Proceedings Title: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Event location: Atlanta, GA US

ISBN: 9781728154787

DOI: 10.1109/SPAWC48557.2020.9154252

Abstract

In this paper, we investigate resource allocation algorithm design for intelligent reflecting surface (IRS)-Assisted multiuser cognitive radio (CR) systems. In particular, an IRS is deployed to mitigate the interference caused by the secondary network to the primary users. The beamforming vectors at the base station (BS) and the phase shift matrix at the IRS are jointly optimized for maximization of the sum rate of the secondary system. The algorithm design is formulated as a non-convex optimization problem taking into account the maximum interference tolerance of the primary users. To tackle the resulting non-convex optimization problem, we propose an alternating optimization-based suboptimal algorithm exploiting semidefinite relaxation, the penalty method, and successive convex approximation. Our simulation results show that the system sum rate is dramatically improved by our proposed scheme compared to two baseline schemes. Moreover, our results also illustrate the benefits of deploying IRSs in CR networks.

Authors with CRIS profile

Dongfang Xu Lehrstuhl für Digitale Übertragung Xianghao Yu Professur für Informationsübertragung Robert Schober Lehrstuhl für Digitale Übertragung

How to cite

APA:

Xu, D., Yu, X., & Schober, R. (2020). Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Atlanta, GA, US: Institute of Electrical and Electronics Engineers Inc..

MLA:

Xu, Dongfang, Xianghao Yu, and Robert Schober. "Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks." Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020, Atlanta, GA Institute of Electrical and Electronics Engineers Inc., 2020.

BibTeX: Download