Resource Allocation for Intelligent Reflecting Surface-Assisted Cognitive Radio Networks

Understand

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.