Machine Learning Aided Spectrum Sensing-Reference-Cited by-同舟云学术

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Machine Learning Aided Spectrum Sensing

Published:2023-08-26 Issue: Volume:40 Page:1-6
ISSN:
Container-title:2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM)
language:
Short-container-title:

Author:

Jabbal Raunaq Singh¹,Srivastava Vishwas²,Prasad Binod²

Affiliation:

1. ABV Indian Institute of Information Technology and Management (ABV-IIITM),Dept. of Computer Science and Engineering,Gwalior,MP,India

2. ABV Indian Institute of Information Technology and Management (ABV-IIITM),Dept. of Electrical and Electronics Engineering,Gwalior,MP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370004/10370033/10370642.pdf?arnumber=10370642

Reference29 articles.

1. Cognitive radio: making software radios more personal

2. Spectrum policy task force;Kolodzy;Federal Commun. Comm., Washington, DC, Rep. ET Docket,2002

3. Cognitive radio: brain-empowered wireless communications

4. When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges

5. Sensing-Throughput Tradeoff for Cognitive Radio Networks

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