PCA-RNN-based intelligent mobile drone spectrum sensing algorithm-Reference-Cited by-同舟云学术

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PCA-RNN-based intelligent mobile drone spectrum sensing algorithm

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond
language:
Short-container-title:

Author:

Xu Lingwei¹,Duan Yanyan²,Pei Jiaming³,Lin Wenzhong⁴,Wang Lukun⁵,Mumtaz Shahid⁶

Affiliation:

1. Qingdao University of Science and Technology, Qingdao, China and Minjiang University, Fuzhou, China

2. Qingdao University of Science and Technology, Qingdao, China

3. University of Sydney, Australia

4. Minjiang University, Fuzhou, China

5. Shandong University of Science and Technology, China

6. Instituto de Telecomunicações, Aveiro, Portugal

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555661.3560860

Reference13 articles.

1. A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks

2. A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control

3. An Overview and Future Directions on Physical-Layer Security for Cognitive Radio Networks

4. Opportunistic Spectrum Access for UAV Communications Towards Ultra Dense Networks

5. Fusion Test Statistics Based Mixture Detector for Spectrum Sensing

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