Cooperative Spectrum Sensing System using Residual Convolutional Neural Network-Reference-Cited by-同舟云学术

Cooperative Spectrum Sensing System using Residual Convolutional Neural Network

Published:2022-01-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Consumer Electronics (ICCE)
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Author:

Valadao Myke D. M.¹,Amoedo Diego A.²,Pereira Antonio M. C.¹,Tavares Samuel A.³,Furtado Rafael S.¹,Carvalho Celso B.¹,Da Costa Andre L. A.³,Junior Waldir S. S.¹

Affiliation:

1. Federal University of Amazonas (DTEC/CETELI/UFAM),AM,Brazil

2. National Telecommunications Agency (ANATEL),AM,Brazil

3. Federal University of Uberlândia (FEELT/UFU),MG,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730107/9730121/09730218.pdf?arnumber=9730218

Reference19 articles.

1. A Real-Valued Weighted Covariance-Based Detection Method for Cognitive Radio Networks With Correlated Multiple Antennas

2. Wideband spectrum sensing for cognitive radio networks: a survey;sun;IEEE Wireless Commu-Nications,2013

3. Centralized sub-Nyquist wideband spectrum sensing for cognitive radio networks over fading channels

4. Deep Learning for Spectrum Sensing in Cognitive Radio

5. PALM-CSS: a high accuracy and intelligent machine learning based cooperative spectrum sensing methodology in cognitive health care networks

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1. A Review of Research on Spectrum Sensing Based on Deep Learning;Electronics;2023-11-02

2. MobileNetV3-based Automatic Modulation Recognition for Low-Latency Spectrum Sensing;2023 IEEE International Conference on Consumer Electronics (ICCE);2023-01-06

3. Double-threshold energy detection: noisy environment applied cognitive radio;International Journal of System Assurance Engineering and Management;2022-08-23