Federated Reinforcement Learning for Collaborative Intelligence in UAV-Assisted C-V2X Communications
Abhishek Gupta,
Xavier Fernando
Abstract:This paper applies federated reinforcement learning (FRL) in cellular vehicle-to-everything (C-V2X) communication to enable vehicles to learn communication parameters in collaboration with a parameter server that is embedded in an unmanned aerial vehicle (UAV). Different sensors in vehicles capture different types of data, contributing to data heterogeneity. C-V2X communication networks impose additional communication overhead in order to converge to a global model when the sensor data are not independent-and-… Show more
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