Mobility in the Sky: Performance and Mobility Analysis for Cellular-Connected UAVs
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Abstract (arXiv)
Providing connectivity to unmanned aerial vehicle-user equipments such as drones or flying taxis is a major challenge for tomorrow cellular systems. In this paper, the use of coordinated multi-point transmission for providing seamless connectivity to UAV user equipments is investigated. In particular, a network of clustered ground base stations that cooperatively serve a number of UAVUEs is considered. Two scenarios are studied: scenarios with static, hovering UAV user equipments and scenarios with mobile UAV-UEs. Under a maximum ratio transmission, a novel framework is developed and leveraged to derive upper and lower bounds on the UAV-UE coverage probability for both scenarios. Using the derived results, the effects of various system parameters such as collaboration distance, UAVUE altitude, and UAV-UE velocity on the achievable performance are studied. Results reveal that, for both static and mobile UAV user equipments, when the BS antennas are tilted downwards, the coverage probability of a high-altitude UAV-UE is upper bounded by that of ground users regardless of the transmission scheme. Moreover, for low signal-to-interference-ratio thresholds, it is shown that CoMP transmission can improve the coverage probability of UAV user equipments, e.g., from 28% under the nearest association scheme to 60% for a collaboration distance of 200m.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Aug 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 1; 2025: 2.
4 papers.
- 2021Aerial Base Station Positioning and Power Control for Securing Communications: A Deep Q-Network Approachcited by 1
- 2025Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networkscited by 1
- 2024Cooperative Tri-Point Model-Based Ground-to-Air Coverage Extension in Beyond 5G Networkscited by 0
- 2025Embodied AI-Enhanced IoMT Edge Computing: UAV Trajectory Optimization and Task Offloading with Mobility Predictioncited by 0
- 2025Embodied AI-Enhanced IoMT Edge Computing: UAV Trajectory Optimization and Task Offloading with Mobility Prediction24 Dec 2025
- 2025Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks22 Oct 2025
- 2024Cooperative Tri-Point Model-Based Ground-to-Air Coverage Extension in Beyond 5G Networks18 Jan 2024
- 2021Aerial Base Station Positioning and Power Control for Securing Communications: A Deep Q-Network Approach21 Dec 2021