AI-Based Next Generation Edge Platform for Heterogeneous Services using 5G Technologies

Search results

• 2022

  FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network

  Mohammed, A., Abishu, H. N., Albaseer, A., Erbad, A., Abdallah, M. & Guizani, M., 2022, In: Proceedings - IEEE Global Communications Conference, GLOBECOM. p. 1417-1422 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Flying Base Station 100%
  • Federated Deep Reinforcement Learning 33%
  • Time-critical Applications 33%
  • Station-based 33%
  • Learning Efficiency 33%

  12   Link opens in a new tab Citations (Scopus)

• 2021

  Hierarchical Federated Learning over HetNets enabled by Wireless Energy Transfer

  Hamdi, R., Said, A. B., Erbad, A., Mohamed, A., Hamdi, M. & Guizani, M., 2021, In: Proceedings - IEEE Global Communications Conference, GLOBECOM.

  Research output: Contribution to journal › Conference article › peer-review

  • Heterogeneous Networks 100%
  • Hierarchical Federated Learning 100%
  • Wireless Power Transfer 100%
  • Federated Learning 100%
  • Heterogeneous Network 100%

  3   Link opens in a new tab Citations (Scopus)

• Reinforcement Learning for Hybrid Energy LoRa Wireless Networks

  Hamdi, R., Baccour, E., Erbad, A., Qaraqe, M. & Hamdi, M., 2021, In: Proceedings - IEEE Global Communications Conference, GLOBECOM.

  Research output: Contribution to journal › Conference article › peer-review

  • Power Grid 100%
  • Reinforcement Learning 100%
  • Hybrid Energy 100%
  • LoRa 100%
  • Management Scheme 75%

  1   Link opens in a new tab Citation (Scopus)