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Works cited by this work

13 works

Work: 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

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

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

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

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

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  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

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

    Syed Maaz Shahid, Sungoh Kwon

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

    Anal Paul, Kwonhue Choi

    Article20232 citations
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    Other1 citations
    ABI

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    Other1 citations
    ABI

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    Other1 citations
    ABI

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    Other1 citations
    ABI

  13. Untitled

    Other1 citations
    ABI