A Cluster-Based Energy-Efficient Resource Management Scheme With QoS Requirement for Ultra-Dense Networks

被引:12
作者
Sun, Yanzan
Guo, Ge
Zhang, Shunqing [1 ]
Xu, Shugong
Wang, Tao
Wu, Yating
机构
[1] Shanghai Univ, Shanghai Inst Adv Commun & Data Sci, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
Resource management; Quality of service; Interference; Clustering algorithms; Optimization; Throughput; Ultra-dense networks (UDN); energy efficiency (EE); quality of service (QoS); cluster; SMALL-CELLS; ALLOCATION;
D O I
10.1109/ACCESS.2020.3028942
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ultra-dense networks (UDN) have been considered as one of the best ways to improve the network throughput and energy efficiency (EE). However, massive and unplanned deployment of small cells will cause severe intra-tier interference among small cells and then deteriorate the network EE. For this, a Cluster-based Energy-Efficient Resource Management (CEERM) scheme is proposed to mitigate the interference while guaranteeing the quality of service (QoS) of user equipments (UEs) in this paper. Firstly, we propose a cell clustering algorithm to divide small cells into disjoint cell clusters according to the neighboring relationship. Then, the UEs in each cell cluster are further grouped into UE groups with the target of minimizing intra-cluster interference. Finally, a two-step subchannel allocation and non-cooperative game based power allocation scheme is proposed to maximize the network EE. The simulation results show that the proposed scheme CEERM can effectively boost the network EE with low computation complexity.
引用
收藏
页码:182412 / 182421
页数:10
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