Energy-Efficient Service Mechanism Based On Traffic Spatial-Temporal Distribution Pattern In Cellular Networks

With the rapid development of wireless communication technology, the number of mobile users and traffic volume emerged an explosion growth. The future development of wireless networks will be constrained by both spectrum and energy resources. Since the deployment of traditional networks didn’t consider the difference and inhomogeneity of users’traffic requirement, there is a great waste of energy. Hence, the focus of future research on wireless network will be how to optimize the allocation of the limited spectrum and energy resources among multiple types of user traffic, which is intended to provide user traffic requirements as much as possible and guarantee the quality of service and improve the user satisfaction. In this background, the analysis of group user behavior and spatial-temporal traffic distribtion modeling are essential for both theory analysis and simulation estimation of cellular network’s performance.This paper mainly carries out extensive investigation on energy efficiency and resource optimized hyper-cellular mobile communication system architecture and group user behavior model, which quantifies the characteristics of group user behavior and proposes the model of spatial-temporal traffic distribution.First, we make a sufficient survey of energy efficiency metrics for celluar networks and energy consumption models of base station. A unified definition of energy efficiency metrics is significant for the performance quantitative evaluation of energy-saving technologies, and energy consumption models provides a theoretical basis for the analysis of network energy efficicency.Secondly, it introduces the classification of user behavior in wireless network, focusing on the analysis of group user behavior and its reflection in real cellular network, and based on large amounts of real data from a mobile network operator proposes the model of spatial-temporal traffic distribution, which is a basis for both theory and simulation analysis.Finally, based on the spatial Poisson point process to establish a macro, micro cell overlapping coverage model in heterogeneous networks, carries out the theoretical analysis in the scene which assumes that micro cell have the ability of cell range extensions (CRE).With different bandwidth share ratio between macro and micro cell, investigates on the relationship between the value of CRE and network energy effiency. Theoretical results show that there is an optimal ratio of shared bandwidth between macro and micro cell and the value of CRE allows the highest energy efficiency in network.