Load- and Mobility-Aware Cooperative Content Delivery in SAG Integrated Vehicular Networks

To support multifarious vehicular services with differentiated quality-of-service (QoS) requirements, space-air-ground integrated vehicular networks (SAGVNs) are envisioned as a promising solution to provide global network connectivity, enhance network flexibility, and improve network reliability. In this paper, we investigate cooperative content delivery in the SAGVN, where vehicular content requests can be simultaneously served by multiple access points (APs) in space, aerial, and terrestrial networks. In specific, a joint optimization problem of vehicle-to-AP association, bandwidth allocation, and content delivery ratio, referred to as the ABC problem, is formulated to minimize the overall content delivery delay while satisfying vehicular QoS requirements. To address the tightly-coupled optimization variables, we propose a load- and mobility-aware ABC (LMA-ABC) scheme to solve the joint optimization problem as follows. We first decompose the ABC problem to optimize the content delivery ratio. Then the impact of bandwidth allocation on the achievable delay performance is analyzed, and an effect of diminishing delay performance gain is revealed. Based on the analysis results, the LMA-ABC scheme is designed with the consideration of user fairness, load balancing, and vehicle mobility. Simulation results demonstrate that the proposed LMA-ABC scheme can significantly reduce the cooperative content delivery delay comparing to the benchmark schemes.

Automated summary

This paper investigates cooperative content delivery in space-air-ground integrated vehicular networks (SAGVNs) and proposes a joint optimization scheme to minimize content delivery delay. By analyzing the impact of bandwidth allocation on delay performance, a load- and mobility-aware LMA-ABC scheme is designed to address user fairness, load balancing, and vehicle mobility. Simulation results show that the proposed LMA-ABC scheme significantly reduces cooperative content delivery delay compared to benchmark schemes.