AI-Based mechanism for the Predictive Resource Allocation of V2X related Network Services

Abstract

This paper presents a mechanism that predicts the future position of a vehicle moving in both urban and/or highway environments. Based on this knowledge, it decides on the optimal position of the VNF and preemptively requests the allocation of network resources, before a cross-domain network service migration takes place. The objective of this mechanism is to ensure the uninterrupted, continuous connections of the vehicles, resulting in minimal or no service interruption time while ensuring an optimal utilization of Edge Cloud and Mobile Edge computational resources.