Artificial Intelligence for Intelligent Spectrum Management Toward Futuristic Communication
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53972-5_12
Reference18 articles.
1. H. Kim, “6G Wireless Communications and Networks Systems,” Artificial Intelligence for 6G, pp. 307–339, 2022, doi: https://doi.org/10.1007/978-3-030-95041-5_7.
2. T. S. Kumar and N. Kavitha, “Artificial Intelligence Techniques for 6G,” Future Trends in 5G and 6G, pp. 305–319, Nov. 2021, doi: 10.1201/9781003175155-17.
3. A. Haldorai and A. Ramu, “Security and channel noise management in cognitive radio networks,” Computers & Electrical Engineering, vol. 87, p. 106784, Oct. 2020, doi: https://doi.org/10.1016/j.compeleceng.2020.106784.
4. A. Haldorai, A. Ramu, and M. Suriya, “Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning,” EAI/Springer Innovations in Communication and Computing, pp. 27–53, 2020, doi: https://doi.org/10.1007/978-3-030-44407-5_2.
5. M. I. S. Mamode and T. P. Fowdur, “Machine Learning-Based Scheduling in 5G/6G Communication Systems,” Driving 5G Mobile Communications with Artificial Intelligence towards 6G, pp. 277–308, Feb. 2023, doi: 10.1201/9781003205494-9.
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