Efficient 3D Placement of a UAV Using Particle Swarm Optimization

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.

6 pages, 7 figures

References in corpus (2)

• Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage
• On The Continuous Coverage Problem for a Swarm of UAVs

Cited by in corpus (7)

• Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
• UAV Base Station Location Optimization for Next Generation Wireless Networks: Overview and Future Research Directions
• The Indoor Mobile Coverage Problem Using UAVs
• Efficient UAVs Deployment and Resource Allocation in UAV-Relay Assisted Public Safety Networks for Video Transmission
• When Robotics Meets Wireless Communications: An Introductory Tutorial
• Traffic and Obstacle-aware UAV Positioning in Urban Environments Using Reinforcement Learning
• A Framework to Develop and Validate RL-Based Obstacle-Aware UAV Positioning Algorithms