A survey of traditional and advanced automatic modulation classification techniques, challenges, and some novel trends-Reference-Cited by-同舟云学术

A survey of traditional and advanced automatic modulation classification techniques, challenges, and some novel trends

Published:2021-05-03 Issue:10 Volume:34 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Abdel‐Moneim Mohamed A.¹,El‐Shafai Walid²³^ORCID,Abdel‐Salam Nariman⁴^ORCID,El‐Rabaie El‐Sayed M.³,Abd El‐Samie Fathi E.³⁵^ORCID

Affiliation:

1. Department of Telecommunication, Faculty of Engineering Egyptian Russian University Cairo Egypt

2. Security Engineering Lab, Computer Science Department Prince Sultan University Riyadh 11586 Saudi Arabia

3. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt

4. Department of Electronics and Communications Engineering, Faculty of Engineering Canadian International College (CIC) Giza Egypt

5. Department of Information Technology College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University Riyadh 21974 Saudi Arabia

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.4762

Reference122 articles.

1. Cognitive radio in 5G: a perspective on energy-spectral efficiency trade-off

2. Cognitive-Radio-Based Internet of Things: Applications, Architectures, Spectrum Related Functionalities, and Future Research Directions

3. Survey of automatic modulation classification techniques: classical approaches and new trends

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