吉林大学学报（信息科学版）2025，Vol.43Issue(5)：1025-1032,8.
基于离散相移IRS辅助C-IoT系统的EE优化设计
EE Optimization Design of C-IoT Systems Based on Discrete Phase Shift IRS
摘要
Abstract
Aiming at the high energy consumption problem that exists in multiple-input multiple-outputC-IoT(Cognitive Internet of Things)systems,a joint beamforming optimization algorithm based on IRS(Intelligent Reflecting Surface)assistance is proposed.Taking the signal-to-interference-to-noise ratio at the secondary user and the discrete phase shift at the IRS as constraints,a new optimization criterion is constructed to maximize the energy efficiency of system by jointly optimizing the active beamforming matrix at the secondary transmitter and the passive beamforming matrix at the IRS.After decomposing the complex non-convex optimization problem into sub-problems,the fixed-point iteration method and the successive refinement method are used to process the sub-problems respectively.The simulation results show that the proposed algorithm has good convergence in multi-antenna scenarios.Compared to the baseline scheme,the proposed algorithm effectively improves the energy efficiency of the system in multi-user situations.关键词
智能反射面/离散相移/波束形成优化/能量效率Key words
intelligent reflecting surface/discrete phase shift/beamforming optimization/energy efficiency分类
计算机与自动化引用本文复制引用
南春萍,沙国辉,孙振兴,胥子昂,李雪峰..基于离散相移IRS辅助C-IoT系统的EE优化设计[J].吉林大学学报（信息科学版）,2025,43(5):1025-1032,8.基金项目
黑龙江省自然科学基金资助项目(LH2022F004) （LH2022F004）
东北石油大学青年科学基金资助项目(2020QNQ-05) （2020QNQ-05）
