NDLI: Data driven optimisation of small cell depolyment

Content Provider	IET Digital Library
Author	Chen, Bozhong Zhang, Zitian Chu, Xiaoli Zhang, Jie
Abstract	Increasingly popular online social networks contribute to the massive growth in mobile traffic. The authors find that social network data, which is easier to obtain than carrier data, can be used to optimise the deployment of small base station (SBS). In this Letter, the authors propose a framework based on analysing social network data to identify and cluster mobile traffic hot-spots by using the density-based spatial clustering of applications with noise algorithm. By comparing the clustered hot-spots with the existing macro base stations' locations, they identify where additional SBSs need to be deployed and show that such deployment can effectively improve the quality of service. The proposed simulation results show that the SBSs deployment around hot-spot has relatively better user received signal power on mobile communication network than random SBS deployment following the normal distribution or the Poisson distribution.
Starting Page	48
Ending Page	50
Page Count	3
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2019.2976
Journal	Electronics Letters
Publisher Date	2019-10-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Base Station Carrier Data Cell Depolyment Cellular Radio Clustered Hot-spots Communication Computing Data Driven Optimisation Density-based Spatial Clustering Information Network Macro Base Stations Mobile Communication Network Mobile Radio Mobile Radio System Mobile Traffic Hot-spots Mobility Management Network Management Noise Algorithm Normal Distribution Online Social Network Pattern Clustering Poisson Distribution Quality of Service Random SBS Deployment SBS Deployment Social Network Data Social Networking (online) Statistics Telecommunication Computing Telecommunication Traffic
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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