Performance of Machine Learning-Based Techniques for Spectrum Sensing in Mobile Cognitive Radio Networks-Reference-Cited by-同舟云学术

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Performance of Machine Learning-Based Techniques for Spectrum Sensing in Mobile Cognitive Radio Networks

Published:2022 Issue: Volume:10 Page:1410-1418
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abusubaih Murad A.^ORCID,Khamayseh Sundous

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09663392.pdf?arnumber=9663392

Cited by 21 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. Performance analysis of ML models on 5G sub-6 GHz bands: An experimental study;Cluster Computing;2024-07-18

2. CNN-LSTM based Spectrum Sensing in Full-Duplex-aided CR-IoT Networks;Proceedings of the Cognitive Models and Artificial Intelligence Conference;2024-05-25

3. Experimental testing and analysis of regression algorithms for spectrum sensing in cognitive radio networks;Wireless Networks;2024-05-14

4. Differential Energy-Driven Adaptive Dual-Threshold Collaborative Spectrum Sensing Algorithm;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

5. Efficient Spectrum Sensing in Cognitive Radio Network Using Multi-Objective Improved Salp Swarm Algorithm;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

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