Efficient Resource Allocation for Backhaul-Aware Unmanned Air Vehicles-to-Everything (U2X)

Abstract

Unmanned aerial vehicles (UAVs) allow better coverage, enhanced connectivity, and elongated lifetime when used in telecommunications. However, these features are predominately affected by the policies used for sharing resources amongst the involved nodes. Moreover, the architecture and deployment strategies also have a considerable impact on their functionality. Recently, many researchers have suggested using layer-based UAV deployment, which allows better communications between the entities. Regardless of these solutions, there are a limited number of studies which focus on connecting layered-UAVs to everything (U2X). In particular, none of them have actually addressed the aspect of resource allocation. This paper considers the issue of resource allocation and helps decide the optimal number of transfers amongst the UAVs, which can conserve the maximum amount of energy while increasing the overall probability of resource allocation. The proposed approach relies on mutual-agreement based reward theory, which considers Minkowski distance as a decisive metric and helps attain efficient resource allocation for backhaul-aware U2X. The effectiveness of the proposed solution is demonstrated using Monte-Carlo simulations.

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“…It is reasonable to think that a vehicle can be identified every 10 meters and that, therefore, in a range of 250-300 meters, around 30 vehicles can be identified. Due to the excessive collision speed, the reliability of the communication tends to undergo a substantial decrease, especially in applications with distances more significant than those just mentioned (a few hundred meters) [28]. All other things being equal, it can be verified that the LTE-V2V standard has reduced performance in short distance communications but is more reliable as the distance increases (for example, even up to almost 500 meters) [29,30].…”