TY - JOUR
T1 - A cluster-based energy-efficient resource management scheme with qos requirement for ultra-dense networks
AU - Sun, Yanzan
AU - Guo, Ge
AU - Zhang, Shunqing
AU - Xu, Shugong
AU - Wang, Tao
AU - Wu, Yating
N1 - Publisher Copyright:
© 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Cluster
KW - Energy efficiency (EE)
KW - Quality of service (QoS)
KW - Ultra-dense networks (UDN)
UR - http://www.scopus.com/inward/record.url?scp=85102767311&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.3028942
DO - 10.1109/ACCESS.2020.3028942
M3 - Article
AN - SCOPUS:85102767311
SN - 2169-3536
VL - 8
SP - 182412
EP - 182421
JO - IEEE Access
JF - IEEE Access
ER -