摘要
针对电磁涡旋通信系统能量效率受限的问题,提出了基于智能超表面的电磁涡旋通信的传输方案。建立了基于智能超表面的电磁涡旋通信的系统模型,基于该系统模型推导了能量效率的数学表达式。为实现能量效率最大化,采用了一种交替优化算法进行求解,考虑到目标函数和约束条件的非凸性,问题被分为2个子问题,即通过分别优化基站的功率分配和智能超表面的相移系数来实现能量效率最大化。数值仿真结果表明采用智能超表面可以提高电磁涡旋通信系统的能量效率,并且所采用的优化算法可以有效地实现能量效率最大化。
With the aim of the limited energy efficiency in radio vortex communication systems,a transmission scheme for the radio vortex communication based on the reconfigurable intelligent surface was proposed.A system model for the radio vortex communications based on the reconfigurable intelligent surface(RIS)was established and a mathematical expression for energy efficiency was derived based on this system model.To achieve maximum energy efficiency,an alternating optimization algorithm was adopted to solve the problem.Considering the non-convex of the objective function and constraint conditions,the problem was divided into two sub problems.Specifically,the energy efficiency was maximized by separately optimizing the power allocation at the base station and the phase shift coefficient of the RIS.The numerical simulation results indicated that the energy efficiency of the radio vortex communication system can be improved by adopting the RIS,and the adopted optimization algorithm can effectively maximize energy efficiency.
作者
朱启标
肖祥忠
魏隆
罗斌
ZHU Qibiao;XIAO Xiangzhong;WEI Long;LUO Bin(School of Information Engineering,Nanchang University,Nanchang 330031,China)
出处
《南昌大学学报(工科版)》
CAS
2024年第2期135-141,共7页
Journal of Nanchang University(Engineering & Technology)
基金
国家自然科学基金资助项目(61961024、62261037)
江西省自然科学基金资助项目(20181BAB202001)。
关键词
智能超表面
电磁涡旋
能量效率
交替优化算法
reconfigurable intelligent surface
radio vortex
energy efficiency
alternating optimization algorithm