FedSwap: A Federated Learning based 5G Decentralized Dynamic Spectrum Access System
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9643423/9643432/09643496.pdf?arnumber=9643496
Cited by 5 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. Mambas: Maneuvering Analog Multi-User Beamforming using an Array of Subarrays in mmWave Networks;Proceedings of the 30th Annual International Conference on Mobile Computing and Networking;2024-05-29
2. Federated learning for efficient spectrum allocation in open RAN;Cluster Computing;2024-05-20
3. Federated and Online Dynamic Spectrum Access for Mobile Secondary Users;IEEE Transactions on Wireless Communications;2024-01
4. Federated Deep Reinforcement Learning-Based Spectrum Sharing and Power Allocation for Mobile Communication System;2023 International Conference on Electrical Engineering and Photonics (EExPolytech);2023-10-19
5. Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey;IEEE Communications Surveys & Tutorials;2023
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