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FeDRL-D2D: Federated Deep Reinforcement Learning-Empowered Resource Allocation Scheme for Energy Efficiency Maximization in D2D-Assisted 6G Networks

  • Hafiz Muhammad Fahad Noman
  • , Kaharudin Dimyati
  • , Kamarul Ariffin Noordin
  • , Effariza Hanafi
  • , Atef Abdrabou

Research output: Contribution to journal › Article › peer-review

35   Link opens in a new tab Citations (Scopus)

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