Sign in
Back
RF sensing for Internet of Things: A general deep learning framework
Journal article

RF sensing for Internet of Things: A general deep learning framework

Xuyu Wang, Xiangyu Wang and Shiwen Mao
IEEE Communications magazine, Vol.56(9), pp.62-67
09/17/2018
DOI: https://doi.org/10.1109/MCOM.2018.1701277
Handle:
https://hdl.handle.net/20.500.12741/rep:6578

Abstract

Machine learning Radio frequency Wireless fidelity Logic gates Acoustics Radiofrequency identification Smart devices Internet of Things

In this article, we propose a general deep learning framework for RF sensing in the IoT. We first present the proposed framework and then review various RF sensing techniques, deep learning techniques, and canonical RF sensing applications. We apply the proposed framework to fingerprinting, activity recognition, and vital sign monitoring using WiFi CSI and present experimental results. We conclude this article with a discussion of research challenges and open problems.

Metrics

9 Record Views

Details