A Vehicle-Centric Probabilistic Approach to Virtual Cell Management in Ultra-Dense 5G Networks

Abstract

The fifth generation (5G) cellular networks tend to be ultra-dense networks (UDN). Among the 5G UDN challenges, it is the creation and the management of virtual cells centered on the user. By the literature was not found any work that has directly associated a vehicle-centric probabilistic approach to virtual cell management in ultra-dense 5G networks as proposed in this paper as a contribution to the technological development on 5G networks use, what indicates its originality. Considering scenarios involving high mobility, such as the Internet of Vehicles (IoV) or vehicle-to-network (V2N) communications, this challenge becomes even greater. For this purpose, this article presents a virtual cell selection probabilistic approach focused on V2N communications. All the processing based on speed criteria and complex network metrics is performed inside a controller that is required to manage the virtual cells. The motivation to use different metrics of radio masts is that one has physical applications as an algebras operator in purely mathematical contexts, while others find wide application in network theory. Simulations were performed through the Network Simulator ns3. The results show that the proposed approach allows more assertive virtual cell selection, improving the services offered by IoV through the 5G networks.