Adil Hussain

A forecast-guided reinforcement learning approach for trajectory planning of unmanned aerial base stations

The rapid growth of wireless devices and the emergence of dynamic traffic hotspots have increased the need for intelligent trajectory planning in unmanned aerial vehicle base stations (UAV-BSs) operating in complex urban environments, where conventional reactive methods relying only on current system states cannot anti...