Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid

Small cells (SCs) mounted on top of Unmanned Aerial Vehicles (UAVs) can be used to boost the radio capacity in hotspot zones. However, UAV-SCs are subject tight battery constraints, resulting frequent recharges operated at ground sites. To meet energy demanded sites, operator leverages a set Solar Panels (SPs) and grid connection. In this work, we demonstrate that both i) level throughput provided areas ii) amount is exchanged with by sites play critical role such UAV-aided cellular network. We then formulate J-MATE model jointly optimize through revenue cost components. addition, design BBSR algorithm, which able retrieve solution even for large problem instances. evaluate over realistic scenario composed dozens multiple showing that: outperform previous approaches targeting either maximization or minimization, computation time memory occupation reduced up five orders magnitude compared J-MATE.