Optimal Energy Management of UAV-Based Cellular Networks Powered by Solar Panels and Batteries: Formulation and Solutions

IEEE Access

Lavinia Amorosi¹  Luca Chiaraviglio²  Jaime Galan-Jimenez³ 

[1] DSS Department, Sapienza University of Rome, Rome, Italy;EE Department, University of Rome Tor Vergata, Rome, Italy;University of Extremadura, C&x00E1;

关键词: Energy management;    mixed integer linear programming;    renewable energy sources;    Unmanned Aerial Vehicles;    UAV mission scheduling;    cellular networks;   

DOI  :  10.1109/ACCESS.2019.2913448

来源: DOAJ

【 摘 要 】

We focus on the problem of managing the energy consumption of a cellular network tailored to cover rural and low-income areas. The considered architecture exploits Unmanned Aerial Vehicles (UAVs) to ensure wireless coverage, as well as Solar Panels (SPs) and batteries installed in a set of ground sites, which provides the energy required to recharge the UAVs. We then target the maximization of the energy stored in the UAVs and in the ground sites, by ensuring the coverage of the territory through the scheduling of the UAV missions over space and time. After providing the problem formulation, we face its complexity by proposing a decomposition-based approach and by designing a brand-new genetic algorithm. The results, obtained over a set of representative case studies, reveal that there exists a trade-off between the UAVs battery level, the ground sites battery level, and the level of coverage. In addition, both the decomposed version and the genetic algorithm perform sufficiently close to the integrated model, with a strong improvement in the computation times.

【 授权许可】

Unknown