Sequential Detection Aided Modulation Classification in Cognitive Radio Networks

2015 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2015.7417475 ◽

2015 ◽

Author(s):

Lubing Han ◽

Feifei Gao ◽

Kaiqing Zhang ◽

Shun Zhang

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Modulation Classification ◽

Sequential Detection

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Sequential Detection Aided Modulation Classification in Cognitive Radio Networks

2015 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2014.7417475 ◽

2014 ◽

Author(s):

Lubing Han ◽

Feifei Gao ◽

Kaiqing Zhang ◽

Shun Zhang

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Modulation Classification ◽

Sequential Detection

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Cooperative spectrum sensing via sequential detection for cognitive radio networks

2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications ◽

10.1109/spawc.2009.5161759 ◽

2009 ◽

Author(s):

Qiyue Zou ◽

Songfeng Zheng ◽

Ali H. Sayed

Keyword(s):

Cognitive Radio ◽

Spectrum Sensing ◽

Cognitive Radio Networks ◽

Cooperative Spectrum Sensing ◽

Radio Networks ◽

Sequential Detection

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Lightweight Deep Learning Model for Automatic Modulation Classification in Cognitive Radio Networks

IEEE Access ◽

10.1109/access.2020.3033989 ◽

2020 ◽

Vol 8 ◽

pp. 197532-197541

Author(s):

Seung-Hwan Kim ◽

Jae-Woo Kim ◽

Van-Sang Doan ◽

Dong-Seong Kim

Keyword(s):

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Learning Model ◽

Radio Networks ◽

Modulation Classification ◽

Automatic Modulation Classification ◽

Deep Learning Model

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Hybrid Noise-Resilient Deep Learning Architecture for Modulation Classification in Cognitive Radio Networks

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Future Access Enablers for Ubiquitous and Intelligent Infrastructures ◽

10.1007/978-3-030-23976-3_20 ◽

2019 ◽

pp. 214-227

Author(s):

Antoni Ivanov ◽

Krasimir Tonchev ◽

Vladimir Poulkov ◽

Hussein Al-Shatri ◽

Anja Klein

Keyword(s):

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Modulation Classification

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Sequential detection of number of primary users in cognitive radio networks

2015 49th Asilomar Conference on Signals, Systems and Computers ◽

10.1109/acssc.2015.7421102 ◽

2015 ◽

Author(s):

Liping Du ◽

Chun-Hao Liu ◽

Mihir Laghate ◽

Danijela Cabric

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Sequential Detection ◽

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Cooperative Modulation Classification of multiple signals in Cognitive Radio Networks

2014 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2014.6883531 ◽

2014 ◽

Author(s):

Mahi Abdelbar ◽

Bill Tranter ◽

Tamal Bose

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Modulation Classification ◽

Multiple Signals

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Digital Signal Modulation Classification With Data Augmentation Using Generative Adversarial Nets in Cognitive Radio Networks

IEEE Access ◽

10.1109/access.2018.2815741 ◽

2018 ◽

Vol 6 ◽

pp. 15713-15722 ◽

Author(s):

Bin Tang ◽

Ya Tu ◽

Zhaoyue Zhang ◽

Yun Lin

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Data Augmentation ◽

Digital Signal ◽

Radio Networks ◽

Modulation Classification ◽

Signal Modulation

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Optimal sequential detection in cognitive radio networks

2012 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc.2012.6214297 ◽

2012 ◽

Author(s):

Lu Lu ◽

Xiangwei Zhou ◽

Geoffrey Ye Li

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Sequential Detection

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Corrections to “Deep Learning-Based Robust Automatic Modulation Classification for Cognitive Radio Networks”

IEEE Access ◽

10.1109/access.2021.3100935 ◽

2021 ◽

Vol 9 ◽

pp. 109094-109094

Author(s):

Seung-Hwan Kim ◽

Jae-Woo Kim ◽

Williams-Paul Nwadiugwu ◽

Dong-Seong Kim

Keyword(s):

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Modulation Classification ◽

Automatic Modulation Classification

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Deep Learning-based Robust Automatic Modulation Classification for Cognitive Radio Networks

IEEE Access ◽

10.1109/access.2021.3091421 ◽

2021 ◽

pp. 1-1

Author(s):

Seung-Hwan Kim ◽

Jae-Woo Kim ◽

Williams-Paul Nwadiugwu ◽

Dong-Seong Kimb

Keyword(s):

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Modulation Classification ◽

Automatic Modulation Classification

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