不完美信道状态信息下的多输入单输出共生无线电系统资源分配算法  

Resource Allocation Algorithm for Multiple-Input Single-Output Symbiotic Radio with Imperfect Channel State Information

作　　者：徐勇军[1] 王名扬 田秦语 张海波[1] 薛青 XU Yongjun;WANG Mingyang;TIAN Qinyu;ZHANG Haibo;XUE Qing(School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《电子与信息学报》2024年第12期4354-4362,共9页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(U23A20279,62271094);重庆市自然科学基金重点项目(CSTB2022NSCQ-LZX0009,CSTB2023NSCQLZX0079);重庆市教委科技重点项目(KJZD-K202200601);重庆邮电大学高等科学研究院项目(E011A2022324)。

摘　　要：针对信道估计误差会导致传统最优资源分配算法失效的问题,该文提出一种基于不完美信道状态信息(CSI)的多输入单输出(MISO)共生无线电系统鲁棒资源分配算法。考虑每个用户最小吞吐量约束、传输时间约束、基站最大发射功率约束和用户反射系数约束,基于有界信道不确定性模型,建立了一个传输时间、波束成形向量和反射系数联合优化的鲁棒吞吐量最大化资源分配问题。利用拉格朗日对偶、变量替换和交替优化方法将原问题转换成凸优化问题求解。仿真结果表明,与传统非共生资源分配算法相比,所提算法的吞吐量提升11.7%,中断概率减小5.31%。To overcome the effect of channel estimation errors on the ineffectiveness of conventional optimal resource allocation algorithms,a robust resource allocation algorithm with imperfect Channel State Information(CSI)is proposed in Multiple-Input Single-Output(MISO)symbiotic radio systems.Considering the constraints of the minimum throughput of users,transmission time,maximum transmit power of the base station,and the reflection coefficients of users,based on bounded channel uncertainties,a robust throughput-maximization resource allocation problem is formulated by jointly optimizing transmission time,beamforming vectors,and reflection coefficients.The original problem is transformed into a convex problem by applying the Lagrange dual theory,the variable substitution,and the alternating optimizing methods.Simulation results verified that the throughput of the proposed algorithm is improved by 11.7%and the outage probability is reduced by 5.31%by comparing it with the non-robust resource allocation algorithm.

关 键 词：共生无线电 鲁棒资源分配 吞吐量最大化 

分 类 号：TN929.5[电子电信—通信与信息系统]