A Novel Voronoi Based Tool to Optimize MU-MIMO UAV Placement with Sustainable Development Concerns

Balancing sustainable energy with cellular deployment can be challenging. However, multi-user MIMO antennas for dynamic positioning can benefit both objectives. This study presents an optimization algorithm leveraging dynamic drone deployment to alleviate cellular communication congestion in densely populated areas. Two deployment strategies are examined: prioritizing energy efficiency by minimizing antenna footprint, and optimizing service quality by placing serving offloading drones. A novel Voronoi planning tool models both approaches, aiding in estimating energy consumption across various scenarios, particularly in the context of modern multi-user massive MIMO and beamforming techniques. A comparative energy analysis for different techniques is conducted, along with establishing a theoretical minimal coverage antenna footprint.