4 citations · 6 across the 5 of their papers we have counts for
Showing cs.ITShow all
2 papers · 1 filter
cs.IT2020★ 1 cited
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association
Boris Galkin, Erika Fonseca, Ramy Amer +2
Unmanned Aerial Vehicles (UAVs) are emerging as important users of next-generation cellular networks. By operating in the sky, UAV users experience very different radio conditions…
cs.IT2020
Intelligent Base Station Association for UAV Cellular Users: A Supervised Learning Approach
Boris Galkin, Ramy Amer, Erika Fonseca +1
Fifth Generation (5G) cellular networks are expected to provide cellular connectivity for vehicular users, including Unmanned Aerial Vehicles (UAVs). When flying in the air, these…