Power allocation in cognitive radio networks using distributed machine learning
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IEEE
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http://xplorestaging.ieee.org/ielx5/6338444/6362488/06362898.pdf?arnumber=6362898
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Q-Learning-Based Approach for Distributed Beam Scheduling in mmWave Networks;2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN);2021-12-13
2. A Non-cooperative Game-based Approach to Distributed Beam Scheduling in Millimeter-Wave Networks;2021 55th Asilomar Conference on Signals, Systems, and Computers;2021-10-31
3. A Survey of Machine Learning Algorithms and Their Applications in Cognitive Radio;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2015
4. MAC protocol identification using support vector machines for cognitive radio networks;IEEE Wireless Communications;2014-02
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