The research of power allocation algorithm with lower computational complexity for non-orthogonal multiple access

doi:10.2478/AMNS.2021.1.00027

	The research of power allocation algorithm with lower computational complexity for non-orthogonal multiple access
	Lin, Ying 1,2; Li, Suoping 3; Jia, Kejun 2; Kingsley, Kathryn L.4
刊名	APPLIED MATHEMATICS AND NONLINEAR SCIENCES
	2021-07-01
卷号	6 期号:2 页码:79-88
关键词	non-orthogonal multiple access tree topology system capacity power allocation computational complexity
DOI	10.2478/AMNS.2021.1.00027
英文摘要	Non-orthogonal multiple access (NOMA) has very high spectral efficiency and system capacity. NOMA has become one of the most competitive access solutions in 5G systems. In this article, the principle of NOMA is discussed first. Then, the NOMA system capacity optimisation problems are studied. Signal to interference plus noise ratio (SINR) is an important factor which affects the system capacity. The SINR of current user n is only related to the power allocated to users n+1 to N with high signal-to-noise ratio (SNR) but not interfered by users with low SNR. Therefore, a tree topology power allocation (TTPA) algorithm is introduced. When users are allocated to each layer of the tree structure, the current power allocation of each layer will not be affected by the previous layer. Through theoretical analysis, TTPA can achieve the same performance as the full search power allocation algorithm; however, its computational complexity is reduced from exponential to constant. It can be seen from the numerical simulation results that the proposed algorithm can achieve higher system capacity and has lower computational complexity.
WOS研究方向	Mathematics
语种	英语
出版者	WALTER DE GRUYTER GMBH
WOS记录号	WOS:000733947000001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/155619]
专题	计算机与通信学院理学院
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Gansu, Peoples R China; 2.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China; 3.Lanzhou Univ Technol, Sch Sci, Lanzhou, Gansu, Peoples R China; 4.Rutgers State Univ, New Brunswick, NJ USA
推荐引用方式 GB/T 7714	Lin, Ying,Li, Suoping,Jia, Kejun,et al. The research of power allocation algorithm with lower computational complexity for non-orthogonal multiple access[J]. APPLIED MATHEMATICS AND NONLINEAR SCIENCES,2021,6(2):79-88.
APA	Lin, Ying,Li, Suoping,Jia, Kejun,&Kingsley, Kathryn L..(2021).The research of power allocation algorithm with lower computational complexity for non-orthogonal multiple access.APPLIED MATHEMATICS AND NONLINEAR SCIENCES,6(2),79-88.
MLA	Lin, Ying,et al."The research of power allocation algorithm with lower computational complexity for non-orthogonal multiple access".APPLIED MATHEMATICS AND NONLINEAR SCIENCES 6.2(2021):79-88.