Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges
| Autor: | Shichuan Chen, Zhenxing Luo, Zhu Jiawei, Lifeng Yang, Junjie Hu, Xiaoniu Yang, Shilian Zheng |
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| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science Astrophysics::High Energy Astrophysical Phenomena 02 engineering and technology search engine Radio spectrum big data 020204 information systems 0202 electrical engineering electronic engineering information engineering Electronic engineering Radio signals Wireless General Materials Science cognitive radio Wideband Signal processing Frequency-shift keying business.industry Deep learning ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS General Engineering deep learning 020206 networking & telecommunications neural networks Cognitive radio lcsh:Electrical engineering. Electronics. Nuclear engineering Artificial intelligence business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 6, Pp 55907-55922 (2018) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2018.2872769 |
| Popis: | In modern society, the demand for radio spectrum resources is increasing. As the information carriers of wireless transmission data, radio signals exhibit the characteristics of big data in terms of volume, variety, value, and velocity. How to uniformly handle these radio signals and obtain value from them is a problem that needs to be studied. In this paper, a big data processing architecture for radio signals is presented and a new approach of end-to-end signal processing based on deep learning is discussed in detail. The radio signal intelligent search engine is used as an example to verify the architecture, and the system components and experimental results are introduced. In addition, the applications of the architecture in cognitive radio, spectrum monitoring, and cyberspace security are introduced. Finally, challenges are discussed, such as unified representation of radio signal features, distortionless compression of wideband sampled data, and deep neural networks for radio signals. |
| Databáze: | OpenAIRE |
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