Abstract-Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stations when cellular networks go down. Prior studies on UAV-based wireless coverage typically consider an Air-to-Ground path loss model, which assumes that the users are outdoor and they are located on a 2D plane. In this paper, we propose using a single UAV to provide wireless coverage for indoor users inside a high-rise building under disaster situations (such as earthquakes or floods), when cellular networks are down. We assume that the locations of indoor users are uniformly distributed in each floor and we propose a particle swarm optimization algorithm to find an efficient 3D placement of a UAV that minimizes the total transmit power required to cover the indoor users. Index Terms-Unmanned aerial vehicles, Outdoor-to-Indoor path loss model, particle swarm optimization.
In REF , the authors proposed an efficient 3D deployment of UAV using the Particle Swarm Optimization algorithm (PSO) to find an efficient 3D UAV location that minimized the total transmit power required to cover all indoor receivers where the indoor receivers were uniformly distributed inside the building.
Efficient 3D Placement of a UAV Using Particle Swarm Optimization
2017 8th International Conference on Information and Communication Systems (ICICS)
2017 8th International Conference on Information and Communication Systems (ICICS)
Computer Science Mathematics