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Dynamic mode selection and resource allocation approach for 5G-vehicle-to-everything (V2X) communication using asynchronous federated deep reinforcement learning method.

Iftikhar Rasheed
Published in: Veh. Commun. (2022)
Keyphrases
  • resource allocation
  • reinforcement learning
  • dynamic resource allocation
  • multi agent
  • computational complexity
  • dynamic programming
  • state space
  • rate distortion