Statistical QoS Provisioning for UAV-enabled Emergency Communication Networks

Efficient disaster recovery can rely on unmanned aerial vehicles (UAVs)-assisted emergency communication networks. Due to the rapid growing of the real-time multimedia traffics in the post-disaster situations, the UAV-enabled emergency network is expected to satisfy different levels of delay requirements. In addition to UAVs, the underlying spectrum sharing transmission links arc typically applied to deploy deviceto-device (D2D) communications in the emergency scenarios. Therefore, the interference management is critical to UAVs-assisted networks with D2D) communications. In this paper, we propose the statistical delay-bounded quality of service (QoS) provisioning framework to support diverse traffics in the UAV-enabled emergency network, where the UAVs are deployed as base stations for downlink transmissions with underlying spectrum sharing device-to-device (D2D) users engaged. In particular, we formulate the optimization problem, which subjects to the average power and peak rate constraints, to maximize the effective capacity under various QoS requirements. Simulation results verify the impact of interference related parameters and delay exponents on the effective capacity and show that our developed optimal power allocation scheme can achieve the maximum effective capacity under diverse delay-bounded QoS requirements than other existing schemes.