Cellular UAV-to-Device Communications: Trajectory Design and Mode Selection by Multi-Agent Deep Reinforcement Learning
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DOI: 10.1109/tcomm.2020.2986289
Abstract: In the current unmanned aircraft systems (UASs) for sensing services, unmanned aerial vehicles (UAVs) transmit their sensory data to terrestrial mobile devices over the unlicensed spectrum. However, the interference from surrounding terminals is uncontrollable due… read more here.
Keywords: agent deep; multi agent; uav device; deep reinforcement ... See more keywords