Multicarrier NOMA Power Allocation Strategy Based on Improved Particle Swarm Optimization Algorithm

被引:0
|
作者
Hao S.-W. [1 ]
Li Y.-J. [1 ]
Zhao S.-H. [1 ]
Wang W.-L. [1 ]
Wang X.-Y. [1 ]
机构
[1] Institute of Information and Navigation, Air Force Engineering University, Xi'an
来源
关键词
Energy efficiency; Non-orthogonal multiple access; Particle swarm optimization; Power allocation;
D O I
10.3969/j.issn.0372-2112.2020.10.019
中图分类号
学科分类号
摘要
As non-orthogonal multiple access technology can achieve higher system throughput,spectrum efficiency and energy efficiency than traditional orthogonal access technology,it has become a research hotspot of 5G multiple access technology.In this paper,a power allocation strategy based on Improved Particle Swarm Optimization (IPSO) is proposed to optimize the energy efficiency of NOMA downlink system.The Standard Particle Swarm Optimization (SPSO) is improved in three aspects,and the IPSO algorithm is used to solve the objective function to maximize the energy efficiency of the system.The simulation results show that at the optimal power allocation point,the IPSO algorithm can significantly improve the energy efficiency of the system. © 2020, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码:2009 / 2016
页数:7
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