Deep Neural Networks for Spectrum Sensing: A Review-Reference-Cited by-同舟云学术

Deep Neural Networks for Spectrum Sensing: A Review

Published:2023 Issue: Volume:11 Page:89591-89615
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Syed Sadaf Nazneen¹^ORCID,Lazaridis Pavlos I.¹^ORCID,Khan Faheem A.¹^ORCID,Ahmed Qasim Zeeshan¹^ORCID,Hafeez Maryam¹,Ivanov Antoni²^ORCID,Poulkov Vladimir²^ORCID,Zaharis Zaharias D.³^ORCID

Affiliation:

1. School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K.

2. Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria

3. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

Horizon 2020 Framework Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10217791.pdf?arnumber=10217791

Reference120 articles.

1. Sensing OFDM Signal: A Deep Learning Approach

2. Improved energy detection spectrum sensing for cognitive radio

3. Overview of deep learning

4. Deep Learning Based Power Allocation Schemes in NOMA Systems: A Review

5. Artificial Neural Network Based Spectrum Sensing Method for Cognitive Radio

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4. Practical Implementation of RIS-Aided Spectrum Sensing: A Deep-Learning-Based Solution;IEEE Systems Journal;2024-06

5. Performance Analysis of a Deep Neural Network-Based Spectrum Sensing Approach;Mechanisms and Machine Science;2024