Artificial Intelligence in Spectrum Management: Policy and Regulatory Considerations-Reference-Cited by-同舟云学术

Artificial Intelligence in Spectrum Management: Policy and Regulatory Considerations

Published:2023-11-01 Issue: Volume:385 Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)
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Author:

Alabi Christopher Akinyemi¹,Imoize Agbotiname Lucky²,Giwa Mohammed Abdulkadir³,Faruk Nasir⁴,Tersoo Sena Timothy⁵,Ehime Agbon Ezekiel⁵

Affiliation:

1. Air Force Institute of Technology (AFIT),Faculty of Ground and Communication Engineering,Telecommunication Engineering Department,Kaduna,Nigeria

2. University of Lagos,Faculty of Engineering,Department of Electrical and Electronics Engineering,Akoka, Lagos,Nigeria

3. Air Force Institute of Technology,Faculty of Ground & Communication Engineering,Information and Communication Engineering Department,Kaduna,Nigeria

4. Sule Lamido University,Faculty of Computing and Information Technology,Department of Information Technology,Kafin Hausa,Jigawa State,Nigeria

5. Ahmadu Bello University,Faculty of Engineering,Electronics and Telecommunication Engineering Department,Zaria, Kaduna,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379199/10379205/10379314.pdf?arnumber=10379314

Reference40 articles.

1. A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks

2. Spectrum management: Key applications and regulatory considerations driving the future use of spectrum;Geraldo,2020

3. Big-Data-Based Intelligent Spectrum Sensing for Heterogeneous Spectrum Communications in 5G

4. Artificial intelligence- assisted internet of medical things enabling medical image processing;Edmund;Taylor Fr.