IRS-NOMA系统最大化系统吞吐量优化
Optimization on maximizing system throughput of IRS-NOMA system
王璐 1周婷 2徐天衡 2胡宏林2
作者信息
- 1. 中国科学院上海高等研究院,上海 201210;中国科学院大学电子电气与通信工程学院,北京 100049
- 2. 中国科学院上海高等研究院,上海 201210
- 折叠
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.
Abstract
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 accom-modating to user displacement than the centralized one.
关键词
智能反射面/非正交多址接入/吞吐量最大化/相位优化/离散反射相位/位移用户/部署Key words
IRS/NOMA/system throughput maximization/phase optimization/discrete reflection phase/displaced users/de-ployment引用本文复制引用
基金项目
国家重点研发计划(2020YFB1806600)
上海市科委重大项目(21511101400)
出版年
2024
NETL
NSTL
维普
万方数据