摘要
在IRS(Intelligent Reflecting Surface)辅助毫米波通信系统中现有的能效优化方法中存在复杂度较高、算法中存在的影响因素较多等的问题,为了解决该问题,提出基于分式规划理论的高能效优化方法。具体来说,就是利用Dinkelbach、连续凸逼近等技术,联合优化基站端混合预编码和IRS的反射相移矩阵。仿真结果表明,与传统的无智能反射面的系统相比,混合预编码和相移矩阵的联合设计下系统的能量效率约提升了215%。结果还表明,在智能反射面部署更多的低成本无源元件可以显著提升系统下行链路的能量效率。
In order to solve the problem of high complexity and many influencing factors in existing energy-efficiency optimization algorithms in IRS-assisted millimeter wave communication systems,we propose a high energy-efficiency optimization algorithm based on fractional programming theory.Specifically,we used Dinkelbach and successive convex approximation techniques to jointly optimize the hybrid precoding at the base station and the phase shift matrix of IRS.The simulation results show that,compared with the traditional system without intelligent reflecting surface,the energy efficiency of the system under the joint design of hybrid precoding and phase shift matrix is improved by about 215%.The results also show that deploying more low-cost passive elements on reflecting surface can significantly improve the downlink energy efficiency of the system.
作者
颜娟娟
李民政
Yan Juanjuan;Li Minzheng(School of Electronic Information Engineering,Shanghai Dianji University,Shanghai 201306,China)
出处
《计算机应用与软件》
北大核心
2025年第4期100-106,共7页
Computer Applications and Software
关键词
智能反射面
毫米波通信
混合预编码
能量效率
Intelligent reflecting surface
Millimeter wave communication
Hybrid precoding
Energy efficiency
