基于UCA的OAM-MIMO系统资源优化  

Resource Optimization of UCA-Based OAM-MIMO System

作　　者：林楚婷 唐杰 马若炎 杨俊[1] LIN Chuting;TANG Jie;MA Ruoyan;YANG Jun(School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510641,China)

机构地区：[1]华南理工大学电子与信息学院,广州510641

出　　处：《北京邮电大学学报》2024年第1期19-24,共6页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(62222105)。

摘　　要：在基于均匀圆形阵列(UCA)的轨道角动量(OAM)结合多输入多输出(MIMO)系统中,UCA的设计影响着信道增益和系统性能。为进一步研究UCA的设计对OAM-MIMO系统能效方面的影响,将联合优化UCA的半径、天线数量和发射功率,在优化系统能效的同时尽可能地提高每路信道的通信质量。多个优化变量的耦合使优化问题为非凸函数,难以直接求解,因此,提出了一种分别将遗传算法和粒子群优化算法与凸优化方法结合的资源优化算法。仿真结果表明,所提出的资源优化算法与穷举算法结合凸优化方法的求解结果基本一致,可以有效地提高系统能效。For the orbital angular momentum(OAM)combined with multiple input multiple output(MIMO)system based on uniform circular array(UCA),the design of UCA affects the channel gain and the system performance.In order to further study the impact of the UCA design on the energy efficiency of OAM-MIMO system,the UCA radius,the number of antennas of UCA and transmission power are jointly optimized to maximize the energy efficiency,while improving the communication quality of each channel.Due to the coupling of several optimization variables,the considered optimization problem is non-convex and difficult to be solved directly.Therefore,an optimization algorithm combining genetic algorithm and particle swarm optimization with convex optimization method is proposed.Simulation results show that the proposed resource optimization algorithm is closed to the exhaustive algorithm combined with convex optimization,which can effectively improve the system energy efficiency.

关 键 词：轨道角动量 多输入多输出 能效 容量 资源优化 

分 类 号：TN928[电子电信—通信与信息系统]