Proactive and Resilient UAV Orchestration for QoS Driven Connectivity and Coverage of Ground Users
Yuhui Wang, Junaid Farooq

TL;DR
This paper introduces a proactive, resilient framework for dynamically orchestrating UAV-based small cells to enhance QoS and coverage for ground users, especially in mobile and diverse scenarios.
Contribution
It presents a novel distributed and adaptive UAV orchestration framework that ensures QoS differentiation and maintains connectivity in highly mobile environments.
Findings
Achieves over 90% user QoS satisfaction in simulations.
Ensures UAV placement adapts to user locations and needs.
Maintains localized backhaul connectivity for UAVs.
Abstract
Unmanned aerial vehicles (UAVs) are being successfully used to deliver communication services in applications such as extending the coverage of 5G cellular networks in remote areas, emergency situations, and enhancing the service quality in regions of dense user populations. While optimized placement solutions have been proposed in literature for ensuring quality of service (QoS) of users, they may not be ideal in highly mobile, autonomous, and diverse network scenarios. This paper proposes a proactive and resilient framework for distributed and dynamic orchestration of UAV small cells to provide QoS differentiation in the network. The UAV locations are tailored to end-user locations and service needs while ensuring that UAVs maintain localized backhaul connectivity. Simulation experiments show that under scenarios where physical placement can achieve service differentiation, the…
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Taxonomy
TopicsUAV Applications and Optimization · Cooperative Communication and Network Coding · Advanced MIMO Systems Optimization
