DeepFi: Deep learning for indoor fingerprinting using channel state information

373 citations recorded by the source corpus.

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Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “use of DL models to predict the location [92]–[94].”
A Survey of Selected Indoor Positioning Methods for Smartphones (2017, methodology): “[31] proposed a deep learning based fingerprinting scheme that uses CSI information for all the subcarriers from three antennas.”
Wireless Sensing for Human Activity: A Survey (2020, background): “[89], [90] propose to use deep learning techniques”
Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services (2018, methodology): “[30] presented a system called DeepFi that utilizes a deep learning method over fingerprinting data to locate indoor positions based on channel state information (CSI).”
Mobile Big Data: Concepts and Features Mobile Big Data Analytics Using Deep Learning and Apache Spark (positive): “For example, the authors in [8] propose a method for indoor localization using deep learning and channel state information.”
Deep Learning in Mobile and Wireless Networking: A Survey (2018, methodology): “A similar work in presented in [326], where Zhou et al. employ an MLP structure to perform device-free indoor localization using CSI.”