Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network

In this paper, we investigate a private and cache-enabled unmanned aerial vehicle (UAV) network for content provision. Aiming at delivering fresh, fair, energy-efficient files to terrestrial users, formulate joint UAV caching, trajectory, transmit power optimization problem. This problem is confirmed be sequential decision with mixed-integer non-convex constraints, which intractable directly. To end, propose novel algorithm based on the techniques of subproblem decomposition convex approximation. Particularly, first decompose into multiple repeated subproblems via Lyapunov technique. Next, an iterative scheme incorporating successive approximation (SCA) technique explored tackle challenging subproblems. Besides, analyze convergence computational complexity proposed derive theoretical value expected peak age information (PAoI) estimate freshness. Simulation results demonstrate that can achieve PAoI close more 22.11% 70.51% fairer than benchmark algorithms.