A multi-UAV system uses a soft actor-critic agent paired with a two-phase matching rule to jointly optimize UAV movement, user transmit power, and user association for simultaneous mobile edge computing and data collection.
3- d trajectory optimization and communication resources allocation in UA V-assisted IoT networks for sustainable industry 5.0,
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UAV-assisted Joint Mobile Edge Computing and Data Collection via Matching-enabled Deep Reinforcement Learning
A multi-UAV system uses a soft actor-critic agent paired with a two-phase matching rule to jointly optimize UAV movement, user transmit power, and user association for simultaneous mobile edge computing and data collection.