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Measurement-Driven Capability Modeling for Mobile Network in Large-Scale Urban Environment
- Source :
- MASS
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
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.
- Subjects :
- business.industry
Computer science
Distributed computing
Mobile computing
020206 networking & telecommunications
02 engineering and technology
Data modeling
Capability Maturity Model
Base station
020204 information systems
Scalability
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Mobile telephony
business
Computer network
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
- Accession number :
- edsair.doi...........50af8207c11129afd1515b03cc2f3290