摘要
在智能反射面辅助的上行非正交多址通信网络中,考虑到用户的位移会对智能反射面的服务效果带来影响,设计集中式和分布式两种智能反射面部署方案,并提出一种离散反射相位优化算法,运用半正定松弛法和高斯随机法,应用于这两种部署方案,以达到最大化系统吞吐量的目的。仿真结果表明,所设计的优化算法能有效提升系统的吞吐量性能,同时表明了分布式部署方案比集中式对用户的位移具有更高的包容度。
In the intelligent reflecting surface(IRS)-assisted uplink non-orthogonal multiple access communication network,IRS centralized and distributed deployment schemes were designed.In addition,a discrete reflection phase optimization algorithm was proposed.The semidefinite relaxation method and the Gaussian random method were utilized,which were applied to both deployment schemes to maximize system throughput.Simulation results show that the optimization algorithm can effectively improve the throughput performance of the system,and it is also shown that the distributed deployment scheme is more accommodating to user displacement than the centralized one.
作者
王璐
周婷
徐天衡
胡宏林
WANG Lu;ZHOU Ting;XU Tian-heng;HU Hong-lin(Shanghai Advanced Research Institute,Chinese Academy of Sciences,Shanghai 201210,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《计算机工程与设计》
北大核心
2024年第5期1281-1288,共8页
Computer Engineering and Design
基金
国家重点研发计划基金项目(2020YFB1806600)
上海市科委重大基金项目(21511101400)。
