Paper Info
Title
Measurement-Driven Capability Modeling for Mobile Network in Large-Scale Urban Environment
Abstract
For mobile networks diverse usage scenarios have different capability requirements on connection density and user experienced data rate, and modeling such capability diversity is crucial to the strategy evaluation in addressing the problem of high traffic load and scalability of network resources. Therefore, it is necessary to build a capability model in two dimensions of connection density and user experienced data rate. This paper aims at addressing this challenge based on an investigation of network capability in large-scale urban environment. First, our statistical study shows that the spatial distribution of these two parameters can be accurately fitted by log-normal mixture model. Second, we find that only six basic capability patterns exist among the 9,000 cellular base stations. Their connections with the urban functions of geographical locations are also explored in our work. Based on these two discoveries, we build a network capability model which can generate synthetic base stations with diverse connection density and user experienced data rate. We believe that this flexible and powerful model can help telecommunication operators to design and standardize mobile network in the future.
Year
DOI
Venue
2016
10.1109/MASS.2016.022
2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
Keywords
Field
DocType
capability modeling,clustering,mobile network measurement
Mobile computing,Base station,Entertainment industry,Data modeling,Computer science,Computer network,Capability Maturity Model,Cellular network,Mobile telephony,Distributed computing,Scalability
Conference
ISSN
ISBN
Citations 
2155-6806
978-1-5090-2834-4
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Jingtao Ding1368.57
Xihui Liu200.34
Yong Li32972218.82
Depeng Jin42177154.29
Depeng Jin52177154.29
Sheng Chen61035111.98