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13 та иш

Иш: RF-CVN: Recurrent Reinforcement Learning Framework for Cognitive Vehicular Ad-Hoc Networks Routing

  1. Energy-Efficient Channel Switching in Cognitive Radio Networks: A Reinforcement Learning Approach

    Haichuan Ding, Xuanheng Li, Ying Ma +1

    Мақола20202 иқтибос
    ABI

  2. Q-Learning-Based Spectrum Access for Multimedia Transmission Over Cognitive Radio Networks

    Xin‐Lin Huang, Yuxuan Li, Yu Gao +1

    Мақола20202 иқтибос
    ABI

  3. A fuzzy arithmetic-based analytical reliability assessment framework (FAARAF): case study, cognitive radio vehicular networks with drivers

    Somayeh Bahramnejad, Naser Movahhedinia

    Мақола20212 иқтибос
    ABI

  4. Availability-Aware Channel Allocation for Multi-Cell Cognitive Radio 5G Networks

    Rami Halloush, Rana Salaimeh, Roa'a Al-Dalqamoni

    Мақола20222 иқтибос
    ABI

  5. Channel assignment and users mobility influence on primary users QoE in Cognitive Radio Network

    Shavbo Salehi, Vahid Solouk

    Мақола20222 иқтибос
    ABI

  6. A Deep Reinforcement Learning-Based QoS Routing Protocol Exploiting Cross-Layer Design in Cognitive Radio Mobile Ad Hoc Networks

    Thong‐Nhat Tran, Toan-Van Nguyen, Kyusung Shim +2

    Мақола20222 иқтибос
    ABI

  7. Distributed robust channel allocation for clustered cognitive radio-based IoT networks using graph theory

    Syed Maaz Shahid, Sungoh Kwon

    Мақола20222 иқтибос
    ABI

  8. Deep learning-based selective spectrum sensing and allocation in cognitive vehicular radio networks

    Anal Paul, Kwonhue Choi

    Мақола20232 иқтибос
    ABI

  9. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  10. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  11. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI