Convolutional Neural Network Architectures for Modulation Scheme Classification in RF Signals within Cognitive Radio Systems-Reference-Cited by-同舟云学术

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Convolutional Neural Network Architectures for Modulation Scheme Classification in RF Signals within Cognitive Radio Systems

Published:2023-12-21 Issue: Volume: Page:269-273
ISSN:
Container-title:2023 9th International Conference on Signal Processing and Communication (ICSC)
language:
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Author:

Maduranga Mwp¹,Lakmal H.K.I.S.²,Tilwari Valmik³

Affiliation:

1. Defence University,Faculty of Computing General Sir John Kotelawala,Department of Computer Engineering,Ratmalana,Sri Lanka

2. NSBM Green University Town,Dept. of Mechatronic and Industry Engineering,Homagama,Sri Lanka

3. Indian Institute of Information Technology,Department of Electronics & Communication Engineering,Guwahati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10440964/10440724/10441073.pdf?arnumber=10441073

Reference17 articles.

1. Fundamental Operations of Cognitive Radio: A Survey

2. Cognitive Radio: Concept and Capabilities

3. Wireless Communications and Mobile Computing (IWCMC);Zhang;Limassol, Cyprus,2020

4. Dynamic spectrum allocation technique in cognitive radio networks

5. Overview of Spectrum Sharing and Dynamic Spectrum Allocation schemes in Cognitive Radio Networks

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