Spectrum Occupancy Reconstruction in Distributed Cognitive Radio Networks Using Deep Learning

IEEE Access ◽

10.1109/access.2019.2894784 ◽

2019 ◽

Vol 7 ◽

pp. 14294-14307 ◽

Author(s):

Mduduzi C. Hlophe ◽

Sunil B. T. Maharaj

Keyword(s):

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Spectrum Occupancy

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Spectral Decision in Cognitive Radio Networks Based on Deep Learning

Expert Systems with Applications ◽

10.1016/j.eswa.2021.115080 ◽

2021 ◽

pp. 115080

Author(s):

Diego Giral ◽

Cesar Hernández ◽

Camila Salgado

Keyword(s):

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

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Deep Learning for QoS-Aware Resource Allocation in Cognitive Radio Networks

Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - Lecture Notes in Computer Science ◽

10.1007/978-3-030-55789-8_28 ◽

2020 ◽

pp. 312-323

Author(s):

Jerzy Martyna

Keyword(s):

Resource Allocation ◽

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

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Deep Learning Opportunities for Resource Management in Cognitive Radio Networks

Developments in Cognitive Radio Networks ◽

10.1007/978-3-030-64653-0_10 ◽

2020 ◽

pp. 189-207

Author(s):

Bodhaswar TJ Maharaj ◽

Babatunde Seun Awoyemi

Keyword(s):

Deep Learning ◽

Cognitive Radio ◽

Resource Management ◽

Cognitive Radio Networks ◽

Learning Opportunities ◽

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Deep Learning-Inspired Message Passing Algorithm for Efficient Resource Allocation in Cognitive Radio Networks

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2018.2883669 ◽

2019 ◽

Vol 68 (1) ◽

pp. 641-653 ◽

Author(s):

Miao Liu ◽

Tiecheng Song ◽

Jing Hu ◽

Jie Yang ◽

Guan Gui

Keyword(s):

Resource Allocation ◽

Deep Learning ◽

Cognitive Radio ◽

Cognitive Radio Networks ◽

Message Passing ◽

Radio Networks ◽

Message Passing Algorithm ◽

Efficient Resource

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Detecting the greedy spectrum occupancy threat in cognitive radio networks

2014 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2014.6884103 ◽

2014 ◽

Author(s):

Songjun Ma ◽

Yunfeng Peng ◽

Tao Wang ◽

Xiaoying Gan ◽

Feng Yang ◽

...

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Spectrum Occupancy

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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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An Overview of Spectrum Occupancy Models for Cognitive Radio Networks

NETWORKING 2011 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-642-23041-7_4 ◽

2011 ◽

pp. 32-41 ◽

Author(s):

Miguel López-Benítez ◽

Fernando Casadevall

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Occupancy Models ◽

Spectrum Occupancy

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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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Strategic spectrum occupancy for secondary users in cognitive radio networks with retrials

Naval Research Logistics (NRL) ◽

10.1002/nav.21775 ◽

2017 ◽

Vol 64 (7) ◽

pp. 599-609 ◽

Author(s):

Jinting Wang ◽

Fang Wang ◽

Wei Wayne Li

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Radio Networks ◽

Secondary Users ◽

Spectrum Occupancy

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A Lightweight Spectrum Occupancy and Service Time Model for Centralized Cognitive Radio Networks

Wireless Personal Communications ◽

10.1007/s11277-016-3628-7 ◽

2016 ◽

Vol 92 (4) ◽

pp. 1675-1694

Author(s):

Bakht Zaman ◽

Ziaul Haq Abbas ◽

Frank Y. Li

Keyword(s):

Cognitive Radio ◽

Cognitive Radio Networks ◽

Service Time ◽

Radio Networks ◽

Spectrum Occupancy

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