Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network

doi:10.11959/j.issn.1000-436x.2021141

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network
	X. Wang; J. Liu; J. Sun; J. Zhang and Z. Qian
刊名	Tongxin Xuebao/Journal on Communications
	2021
卷号	42 期号:7 页码:162-175
ISSN号	1000436X
DOI	10.11959/j.issn.1000-436x.2021141
英文摘要	In order to solve problems of high power consumption, spectrum shortage and low energy efficiency in the ultra-intensive 5G mobile communication scenario, a resource allocation algorithm based on the maximum energy efficiency for the two-layer heterogeneous cellular non-orthogonal multiple access network was proposed. The original NP-hard optimization problem on the downlink communication link of ultra-dense scene was divided into two subproblem, such as frequency resource allocation and power allocation, which became a deterministic constraint optimization problem. The frequency resource allocation scheme of different user groups was obtained by using base station clustering based on the improved k-means algorithm and users grouping based on spectral clustering algorithm. The fraction of energy efficiency optimization was transformed into a solvable continuous convex optimization problem and power distribution was realized by Dinkelbach method, and the Lagrange multiplier iterative algorithm, respectively. Jointly optimize system energy efficiency in terms of base station clustering, user grouping, resource block allocation and power allocation, which minimized the inter-cluster interference and intra-cluster interference of the base station efficiently. The simulation results show that the proposed algorithm is better on energy efficiency and computational efficiency compared with existing algorithms. 2021, Editorial Board of Journal on Communications. All right reserved.
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/65647]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X. Wang,J. Liu,J. Sun,et al. Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network[J]. Tongxin Xuebao/Journal on Communications,2021,42(7):162-175.
APA	X. Wang,J. Liu,J. Sun,&J. Zhang and Z. Qian.(2021).Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network.Tongxin Xuebao/Journal on Communications,42(7),162-175.
MLA	X. Wang,et al."Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network".Tongxin Xuebao/Journal on Communications 42.7(2021):162-175.