Cell Permanence Time and mobility analysis in infrastructure networks: Analytical/statistical approaches and their applications

摘要

Highlights?A new mobility prediction algorithm (for in-advance reserving of future resources).?Concrete statistical analysis of user mobility from real trace files.?Integration of Reservation Protocol, prediction algorithm, bandwidth multiplexing and trace analysis.AbstractGiven the recent computation technologies and dedicated systems able to analyze huge amounts of “real-world” data and to extract information from it, the application possibilities reached in wireless mobile systems have significantly increased. The availability of mobile information, directly extracted from mobility traces, can be used to enhance the quality of the services offered, especially in a vehicular environment, where mobility is one of the main challenges. We present an in-depth study of mobility information management in infrastructure networks, where the covering devices can have a complete local visibility of what happens in terms of covered nodes. We focus our attention on the ways the gathered information can be used to set the coverage radius, to enhance a call admission control algorithm and to predict future movements. The paper introduces also a detailed description of how the obtained data can be statistically processed, and the obtained results confirm the benefits of the proposed scheme, especially in terms of call dropping probability (a minimum gain of 0.35 is obtained), which is a dominant parameter in infrastructure networks.Graphical abstractDisplay Omitted]]>