Mobility Model of Vehicular Terminals in Cellular Networks

Abstract

In this paper we propose a new vehicle mobility modeling method in which many important real world environment issues such as topologies and traffic conditions have been considered to model the user movement in a real environment. The proposed model is based on model in [7] by modification in it's velocity control system. The proposed velocity control system can consider many of the real environment condition for vehicle velocity control on the street. This model can be used in mobile communication and intelligent transport system.

Using Smart City Data in 5G Self-Organizing Networks

“…Mobility affects ultra-dense network performance significantly, as sub-optimal handover strategies both (i) increase the Radio Access Network (RAN) and the Core Network (CN) signaling and (ii) reduce the overall throughput. Research on mobility models [21], [22] and their integration in communication protocols (e.g., Medium Access [23] or interference coordination [24]) is already ongoing, and using real Smart City data as input for these techniques would reduce the uncertainty compared to purely statistical approaches. To the best of our knowledge, this is the first work to do so, although mobility-aware strategies have been proposed and tested in scenarios with simulated mobility patterns [25], [26].…”

Mobility-aware handover strategies in smart cities

“…Mobility affects ultra-dense network performance significantly, as handover strategies need to adapt to it. The research on mobility models [16], [17] and their integration in communication protocols (e.g., Medium Access [18] or interference coordination [19]) is already ongoing, and using real Smart City data as input for these techniques would reduce the uncertainty compared to purely statistical approaches.…”