Optimal 3D UAV Placement and Mobility Control for Continuous Wireless Coverage in Urban Conditions
Abstract
The growing need for reliable wireless connectivity in dense urban areas has motivates interest in using Unmanned Aerial Vehicles (UAVs) as flexible aerial base stations. This study explores how optimal 3D UAV placement and mobility control can improve network performance by maximizing coverage for users that are constantly moving, while also ensuring energy efficiency and safe operation. A MATLAB-based simulation framework was designed to model a 200m square area urban environment with 50 ground users, accounting for challenges such as urban obstacles, energy-aware flight paths, and collision avoidance between UAVs. The results showed that deploying multiple UAVs with dynamic mobility control can provide up to 98% coverage an improvement of 15–20% compared to static UAV placement. The system also maintains safe inter-UAV distances of at least 20 m and limits average UAV energy consumption during a 30-minute mission, demonstrating sustainable operation. These outcomes confirm the value of integrating placement optimization with mobility control, offering a practical pathway toward scalable and energy-efficient UAV-assisted communication networks in urban environments.
Keywords
UAV Placement, Mobility Control, Wireless Communication, Urban Area.
Citations
IRE Journals:
Andrew Adagbor Okwoche , Tawo Godwin Ajuo , Omini Ofem Uket , Matilda Ipeh Anashie , Utoda Reuben Agim
"Optimal 3D UAV Placement and Mobility Control for Continuous Wireless Coverage in Urban Conditions" Iconic Research And Engineering Journals Volume 9 Issue 2 2025 Page 1175-1179
IEEE:
Andrew Adagbor Okwoche , Tawo Godwin Ajuo , Omini Ofem Uket , Matilda Ipeh Anashie , Utoda Reuben Agim
"Optimal 3D UAV Placement and Mobility Control for Continuous Wireless Coverage in Urban Conditions" Iconic Research And Engineering Journals, 9(2)
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