Performance Optimization of Energy-Harvesting Underlay Cognitive Radio Networks Using Reinforcement Learning

Author:

Tashman Deemah H.1,Cherkaoui Soumaya1,Hamouda Walaa2

Affiliation:

1. Polytechnique Montreal,Department of Computer and Software Engineering,Montreal,Canada

2. Concordia University,Department of Electrical and Computer Engineering,Montreal,Canada

Publisher

IEEE

Cited by 6 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. Maximizing Reliability in Overlay Radio Networks With Time Switching and Power Splitting Energy Harvesting;IEEE Transactions on Cognitive Communications and Networking;2024-08

2. Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. Securing Next-Generation Networks against Eavesdroppers: FL-Enabled DRL Approach;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

4. Optimizing Cognitive Networks: Reinforcement Learning Meets Energy Harvesting Over Cascaded Channels;IEEE Systems Journal;2024

5. Securing Overlay Cognitive Radio Networks Over Cascaded Channels with Energy Harvesting;2023 IEEE Globecom Workshops (GC Wkshps);2023-12-04

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