Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges

Big Data Processing Architecture for Radio Signals Empowered by Deep Learning: Concept, Experiment, Applications and Challenges

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 fr...

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Bibliographic Details
Main Authors: Shilian Zheng, Shichuan Chen, Lifeng Yang, Jiawei Zhu, Zhenxing Luo, Junjie Hu, Xiaoniu Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Radio signals
big data
deep learning
neural networks
search engine
cognitive radio
Online Access:https://ieeexplore.ieee.org/document/8476607/

Internet

https://ieeexplore.ieee.org/document/8476607/

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