Uplink NOMA-based long-term throughput maximization scheme for cognitive radio networks: an actor–critic reinforcement learning approach

Wireless Networks ◽

10.1007/s11276-020-02520-y ◽

2021 ◽

Author(s):

Hoang Thi Huong Giang ◽

Tran Nhut Khai Hoan ◽

Insoo Koo

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Throughput Maximization ◽

Learning Approach

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Deep Reinforcement Learning Approach to QoE-Driven Resource Allocation for Spectrum Underlay in Cognitive Radio Networks

2018 IEEE International Conference on Communications Workshops (ICC Workshops) ◽

10.1109/iccw.2018.8403658 ◽

2018 ◽

Cited By ~ 2

Author(s):

Fatemeh Shah-Mohammadi ◽

Andres Kwasinski

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Learning Approach ◽

Spectrum Underlay

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

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.3006471 ◽

2020 ◽

Vol 69 (10) ◽

pp. 12359-12362

Author(s):

Haichuan Ding ◽

Xuanheng Li ◽

Ying Ma ◽

Yuguang Fang

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Energy Efficient ◽

Radio Networks ◽

Learning Approach ◽

Channel Switching

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A Fuzzy Reinforcement Learning Approach to QoS Provisioning Transmission in Cognitive Radio Networks

Lecture Notes in Computer Science - Hybrid Artificial Intelligence Systems ◽

10.1007/978-3-319-07617-1_6 ◽

2014 ◽

pp. 61-73

Author(s):

Jerzy Martyna

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Learning Approach ◽

Qos Provisioning

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A Cooperative Spectrum Sensing with Multi-Agent Reinforcement Learning Approach in Cognitive Radio Networks

IEEE Communications Letters ◽

10.1109/lcomm.2021.3078442 ◽

2021 ◽

pp. 1-1

Author(s):

Ang Gao ◽

Chengyuan Du ◽

Soon Xin Ng ◽

Wei Liang

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Spectrum Sensing ◽

Cognitive Radio Networks ◽

Cooperative Spectrum Sensing ◽

Radio Networks ◽

Learning Approach ◽

Multi Agent

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Context-awareness and intelligence in Distributed Cognitive Radio Networks: A Reinforcement Learning approach

2010 Australian Communications Theory Workshop (AusCTW) ◽

10.1109/ausctw.2010.5426758 ◽

2010 ◽

Cited By ~ 10

Author(s):

Kok-Lim Alvin Yau ◽

Peter Komisarczuk ◽

Paul D. Teal

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Context Awareness ◽

Radio Networks ◽

Learning Approach

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A Reinforcement Learning Approach to ARQ Feedback-based Multiple Access for Cognitive Radio Networks

2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC) ◽

10.1109/ccnc49032.2021.9369562 ◽

2021 ◽

Author(s):

Sara A. Attalla ◽

Karim G. Seddik ◽

Amr A. El-Sherif ◽

Tamer ElBatt

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Multiple Access ◽

Radio Networks ◽

Learning Approach

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Route selection for minimizing interference to primary users in Cognitive Radio Networks: A Reinforcement Learning approach

2013 IEEE Symposium on Computational Intelligence for Communication Systems and Networks (CIComms) ◽

10.1109/cicomms.2013.6582850 ◽

2013 ◽

Cited By ~ 5

Author(s):

Hasan A. A. Al-Rawi ◽

Kok-Lim Alvin Yau

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Learning Approach ◽

Route Selection ◽

Primary Users ◽

Selection For

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Cognitive Radio Networks with Reinforcement Learning Algorithms for Spectrum Allocation: A Survey

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2020/211952020 ◽

2020 ◽

Vol 9 (5) ◽

pp. 8371-8384

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Learning Algorithms ◽

Radio Networks ◽

Spectrum Allocation

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Deep Reinforcement Learning for Dynamic Multichannel Access in Multi-Cognitive Radio Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1550/3/032135 ◽

2020 ◽

Vol 1550 ◽

pp. 032135

Author(s):

Ao Wang ◽

Luyong Zhang ◽

Dianjun Chen ◽

Jinhua Chen

Keyword(s):

Reinforcement Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Multichannel Access

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Throughput maximization of multichannel allocation mechanism under interference constraint for hybrid overlay/underlay cognitive radio networks with energy harvesting

Wireless Networks ◽

10.1007/s11276-020-02305-3 ◽

2020 ◽

Vol 26 (6) ◽

pp. 3905-3928

Author(s):

Hakan Murat Karaca

Keyword(s):

Cognitive Radio ◽

Energy Harvesting ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Throughput Maximization ◽

Allocation Mechanism ◽

Interference Constraint ◽

Underlay Cognitive Radio

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