UAV Network Design Considering Multiple Constraints under Incomplete Information

This is the authors' abstract. We don't add key points for this paper.

The increasing demand for flexible and reliable wireless communication has highlighted the need for rapidly deployable networks in environments where fixed infrastructure is unavailable. Unmanned Aerial Vehicles (UAVs) offer high mobility and can form aerial multi-hop relay paths, enabling infrastructure-free wireless connectivity. However, designing efficient UAV-assisted networks remains challenging due to the need to maintain continuous connectivity to the base station, limited UAV flight time caused by battery constraints, and incomplete knowledge of client locations, especially when clients are sparsely and dynamically distributed. To overcome these issues, we propose a dynamic UAV network design method that considers both connectivity and battery constraints while assuming incomplete client location information. Numerical simulations demonstrate that the proposed method adapts to client movement, performs recharging when necessary, and efficiently collects and relays all client data to the base station.