Resource Allocation for End-to-End Delay Minimization in UAV-Enabled Mesh Networks

Integrating unmanned aerial vehicles (UAVs) and mesh networks into traditional terrestrial communications is a promising technique to achieve the Internet of everything for next generation communication systems. In this paper, we investigate a time-frequency resource allocation problem in UAV-enabled mesh networks. We first mathematically model the network constraints and objectives for minimizing the total end-to-end (E2E) delay. Then, we transform the original non-convex problem into a series of channel assignment problems in successive time slots. Next, the channel assignment problem in each time slot is sub-optimally solved by the successive convex approximation (SCA) technique. Simulation results confirm that the proposed time-frequency allocation algorithm significantly outperforms three benchmark schemes in terms of total E2E delay.