UAV based 5G indoor localization for emergency services

Unmmaned Aerial Vechicle (UAV) deployment as 5G Node Bs (gNBs) or relays is a promising technology for providing rapid 5th Generation (5G) connectivity. This can be useful for enabling accurate indoor localization within buildings but the impact of UAV jitter in windy conditions has to be considered and negated. In this paper, we propose a two-tiered UAV-based 5G system and show that this is an effective solution for precise positioning during emergency situations. Using positional jitter data from a real experiment, we evaluate the errors in localization estimates under wind and turbulence for the proposed system, and develop effective machine learning solutions to compensate for these errors. Thus, the paper presents an effective and practical solution for providing highly accurate localization with UAVs in critical communication scenarios.