QoE-Based Resource Allocation for Heterogeneous Multi-Radio Communication in Software-Defined Vehicle Networks

Abstract

Recently, vehicle to everything (V2X) communications have drawn a significant amount of attention. Emerging V2X applications demand the efficient utilization of heterogeneous access technologies, such as long-term evolution (LTE), Wi-Fi, and dedicated short-range communications. This work first develops a software-defined networking-based application-layer scheme to exploit the available bandwidth from the LTE and Wi-Fi networks in vehicle-to-infrastructure (V2I) communication. The newly proposed scheme utilizes the vehicles' states information to obtain an optimal association of the vehicles with different access points for maximizing the system's quality of experience (QoE) of all cars. We then incorporate the vehicle-to-vehicle (V2V) communications to further improve performance when some users' V2I QoEs are not satisfactory. A heuristic solution that jointly determines the resource allocation as well as V2I and V2V connections are derived. The proposed schemes are evaluated in NS-3 to illustrate their good performance and low computational complexity.