首页|基于统计信道状态信息的智能反射面辅助反向散射通信系统鲁棒资源分配算法

基于统计信道状态信息的智能反射面辅助反向散射通信系统鲁棒资源分配算法

扫码查看
原文链接
  • 万方数据
  • 维普
为解决传统反向散射通信(BackCom)系统存在通信距离短、系统吞吐量较低和克服信道不确定性能力差的问题,该文提出一种基于统计信道状态信息(CSI)的智能反射面(RIS)辅助反向散射通信系统鲁棒资源分配算法.考虑功率站最大发射功率约束、反射节点的能量中断约束和吞吐量中断约束、反射系数约束、RIS相移约束和信息传输时间约束,建立了系统加权和吞吐量最大化的鲁棒资源分配模型;利用伯恩斯坦不等式、交替优化和半正定松弛方法,将原非凸问题转换成凸优化问题求解,并提出一种基于迭代的鲁棒吞吐量最大化算法.仿真结果表明,与传统非鲁棒资源分配算法和无RIS资源分配算法相比,所提算法具有更强的鲁棒性和更高的吞吐量.
Robust Resource Allocation Algorithm for Reconfigurable Intelligent Surface-assisted Backscatter Communication Systems Based on Statistical Channel State Information
In order to solve the problems of short-distance communication,lower system throughput and the effects of channel uncertainties in traditional Backscatter Communication(BackCom)systems,a robust resource allocation algorithm for a Reconfigurable Intelligent Surface(RIS)-assisted backscatter communication system with statistical Channel State Information(CSI)is proposed in this paper.A system weighting and sum throughput-maximization robust resource allocation model is formulated by considering the maximum transmit power constraint of the power station,the energy outage constraint and throughput outage constraint of backscatter nodes,the reflection coefficient constraint,the phase shift constraint of the RIS and the information transmission time constraint;Then,the original non-convex problem is transformed into a convex optimization problem by using the methods of Bernstein-type inequality,the alternating optimization,and the semi-definite relaxation technique.An iteration-based robust throughput maximization algorithm is designed.Simulation results show that the proposed algorithm had stronger robustness and higher throughput compared it with the traditional non-robust resource allocation algorithm and the resource allocation algorithm without RIS.

Backscatter Communication(BackCom)Reconfigurable Intelligent Surface(RIS)Robust resource allocationChannel uncertainty

徐勇军、徐娟、田秦语、黄崇文

展开 >

重庆邮电大学通信与信息工程学院 重庆 400065

浙江大学信息与电子工程学院 杭州 310007

反向散射通信 智能反射面 鲁棒资源分配 信道不确定性

国家自然科学基金国家自然科学基金重庆市自然科学基金重点项目重庆市自然科学基金重点项目重庆市教委科技重点项目国家重点研发计划重庆市研究生科研创新项目重庆市研究生科研创新项目

62271094U23A20279CSTB2022NSCQ-LZX0009CSTB2023NSCQ-LZX0079KJZD-K2022006012021YFA1000500CYB23241CYS23450

2024

10.11999/JEIT231169

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子：1.302
ISSN：1009-5896
年,卷(期)：2024.46(5)