Resource Allocation for IRS-Assisted Sensing-Enhanced Wideband CR Networks
Yuhang Wu, Fuhui Zhou, Qihui Wu, Yang Huang, Rose Qingyang Hu
Abstract
Spectrum-efficient and energy-efficient communication techniques are of crucial importance in the future generation wireless communication networks. An intelligent reflecting surface (IRS)-assisted wideband cognitive radio (CR) network is proposed under the sensing-enhanced spectrum sharing mechanism. In order to maximize the sum throughput of all the secondary users (SUs), the sensing time, transmit power, sub-carrier allocation, and IRS coefficients are jointly optimized. An effective alternating optimization algorithm is proposed to solve the challenging mix-integer non-convex optimization problem. Simulation results demonstrate that the IRS can significantly improve the spectrum efficiency of the CR network. Moreover, the tradeoff between the sensing time and spectrum efficiency is revealed.