Satellite- and Cache-Assisted UAV: A Joint Cache Placement, Resource Allocation, and Trajectory Optimization for 6G Aerial Networks

This paper considers Low Earth Orbit (LEO) satellite- and cache-assisted unmanned aerial vehicle (UAV) communications for content delivery in terrestrial networks, which shows great potential next-generation systems to provide ubiquitous connectivity high capacity. Specifically, caching is provided by the UAV reduce backhaul congestion, LEO satellite supports UAV’s link. In this context, we aim maximize minimum achievable throughput per ground user (GU) jointly optimizing cache placement, resource allocation, trajectory while capacity flight time are limited. The formulated problem challenging solve directly due its non-convexity combinatorial nature. To find a solution, decomposed into three sub-problems: (1) placement optimization with fixed resources trajectory, followed (2) vector finally, (3) optimize resources. Based on solutions of sub-problems, an efficient alternating algorithm proposed utilizing block coordinate descent (BCD) successive convex approximation (SCA) methods. Simulation results show that max-min total enhancement can be achieved applying our instead other benchmark schemes.