Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning. (arXiv:2007.13695v3 [eess.SP] UPDATED)

Providing reliable connectivity to cellular-connected UAV can be very
challenging; their performance highly depends on the nature of the surrounding
environment, such as density and heights of the ground BSs. On the other hand,
tall buildings might block undesired interference signals from ground BSs,
thereby improving the connectivity between the UAVs and their serving BSs. To
address the connectivity of UAVs in such environments, this paper proposes a RL
algorithm to dynamically optimise the height of a UAV as it …

arxiv cellular learning reinforcement reinforcement learning