Title
A Distance-Sensitive Distributed Repulsive Sleeping Strategy for Densely-Deployed Small Cells in Green Cities
Abstract
With the ultra-dense deployment of small cells, Base Station (BS) sleeping technology will play a critical role in future 5G green communications. However, conventional centralized BS sleeping strategies generate a large amount of communication overhead, which grows enormously with the number of BSs. Moreover, the coverage holes incurred by BS sleeping will also degrade the Quality of Service (QoS) performance of User Equipment (UE). To tackle this problem, we propose a Distance-Sensitive Distributed Repulsive Sleeping Strategy (DSDRSS) inspired by Hard Core Point Process (HCPP). DSDRSS realizes sleeping operations through the cooperation between SBSs in a Sleeping Cluster (SC), and does not rely on the feedback links between Small Base Stations (SBSs) and the control center. As a result, DSDRSS can not only enable flexible perception of traffic changes in sleeping area but also produce less communication overhead. Furthermore, we derive the coverage probability of UEs under the proposed scheme in terms of bandwidth resource and transmission rate constraints. Simulation results show that the proposed scheme can achieve equivalent coverage compared with the classic Random Sleep Strategy (RSS) and the General Repulsive Sleep Strategy (GRSS) with a much lower overhead cost.
Year
DOI
Venue
2018
10.1109/ICCChinaW.2018.8674480
2018 IEEE/CIC International Conference on Communications in China (ICCC Workshops)
Keywords
Field
DocType
Base stations,Conferences,Quality of service,Bandwidth,Cellular networks,Switches,5G mobile communication
Base station,Computer science,Computer network,Quality of service,Bandwidth (signal processing),User equipment,Cellular network,RSS,Coverage probability,Overhead (business)
Conference
ISSN
ISBN
Citations 
2377-8644
978-1-5386-7011-8
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yanhua He182.49
Liangrui Tang24019.00
Zhenyu Zhou358559.76