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An Approach for Spatial-temporal Traffic Modeling in Mobile Cellular Networks by Wang, Shuo; Zhang, Xing; Zhang, Jiaxin; Feng, Jian; Wang, Wenbo; Xin, Ke is a scholarly article available to read on EtoBox.

What is An Approach for Spatial-temporal Traffic Modeling in Mobile Cellular Networks about?

The volume and types of traffic data in mobile cellular networks have been increasing continuously. Meanwhile, traffic data change dynamically in several dimensions such as time and space. Thus, traffic modeling is essential for theoretical analysis and energy efficient design of future ultra-dense cellular networks. In this paper, the authors try to build a tractable and accurate model to describe the traffic variation pattern for a single base station in real cellular networks. Firstly a sinusoid superposition model is proposed for describing the temporal traffic variation of multiple base stations based on real data in a current cellular network. It shows that the mean traffic volume of many base stations in an area changes periodically and has three main frequency components. Then, lognormal distribution is verified for spatial modeling of real traffic data. The spatial traffic distributions at both spare time and busy time are analyzed. Moreover, the parameters of the model are presented in three typical regions: park, campus and central business district. Finally, an approach for combined spatial-temporal traffic modeling of single base station is proposed based on the tempor

Author

Wang, Shuo; Zhang, Xing; Zhang, Jiaxin; Feng, Jian; Wang, Wenbo; Xin, Ke

Published

2017

Language

EN