A cluster-based energy-efficient resource management scheme with qos requirement for ultra-dense networks

Yanzan Sun, Ge Guo, Shunqing Zhang, Shugong Xu, Tao Wang, Yating Wu

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)182412-182421
Number of pages10
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Cluster
  • Energy efficiency (EE)
  • Quality of service (QoS)
  • Ultra-dense networks (UDN)

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