A Survey on Compressive Spectrum Sensing for Cognitive Radio Networks-Reference-Cited by-同舟云学术

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A Survey on Compressive Spectrum Sensing for Cognitive Radio Networks

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Smart Cities Conference (ISC2)
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Author:

Benazzouza Salma,Ridouani Mohammed,Salahdine Fatima,Hayar Aawatif

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9055888/9071638/09071710.pdf?arnumber=9071710

Cited by 22 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 comprehensive study on IoT privacy and security challenges with focus on spectrum sharing in Next-Generation networks (5G/6G/beyond);High-Confidence Computing;2024-06

2. ML-supported Spectrum Sensing for Underlay Vehicular D2D Communications in Urban Environments;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

3. Computationally Efficient Wideband Spectrum Sensing through Cumulative Distribution Function and Machine Learning;Journal of Communications Software and Systems;2024

4. Wideband Spectrum Sensing Utilizing Cumulative Distribution Function and Machine Learning;2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM);2023-09-21

5. An Effective Approach for Cognitive Radio Wideband Spectrum Compressive Sensing over AWGN/Rayleigh Channels;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

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