Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
Wifi sensing on the edge: Signal processing techniques and challenges for real-world systems
SM Hernandez, E Bulut - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
In this work, we evaluate the feasibility of deploying ubiquitous WiFi sensing systems at the
edge and consider the applicability of existing techniques on constrained edge devices and …
edge and consider the applicability of existing techniques on constrained edge devices and …
A novel convolutional neural network based indoor localization framework with WiFi fingerprinting
With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …
devices, indoor localization is empowering numerous location-based services. With the …
A survey of deep learning approaches for WiFi-based indoor positioning
X Feng, KA Nguyen, Z Luo - Journal of Information and …, 2022 - Taylor & Francis
One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …
been intrinsically tackled as a traditional machine learning problem since the beginning, to …
Exploiting fingerprint correlation for fingerprint-based indoor localization: A deep learning-based approach
The integration of various fingerprints could intuitively improve localization accuracy in
indoor localization systems; however, the limitation of applying various fingerprints in …
indoor localization systems; however, the limitation of applying various fingerprints in …
An accurate approach of device-free localization with attention empowered residual network
Device-free localization (DFL) has been recognized as an emerging technology in the
Internet of Things (IoT) field. Based on soft computing techniques, eg, cloud systems, neural …
Internet of Things (IoT) field. Based on soft computing techniques, eg, cloud systems, neural …
A comprehensive survey of machine learning based localization with wireless signals
D Burghal, AT Ravi, V Rao, AA Alghafis… - arXiv preprint arXiv …, 2020 - arxiv.org
The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …
A federated learning framework for fingerprinting-based indoor localization in multibuilding and multifloor environments
The participatory nature of federated learning (FL) makes it attractive for fingerprinting-based
indoor localization in multibuilding and multifloor environments. A group of sensing clients …
indoor localization in multibuilding and multifloor environments. A group of sensing clients …
Cnnloc: Deep-learning based indoor localization with wifi fingerprinting
With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …
devices, indoor localization is empowering numerous location-based services. With the …
WiDet: Wi-Fi based device-free passive person detection with deep convolutional neural networks
To achieve device-free person detection, various types of signal features, such as moving
statistics and wavelet representations, have been extracted from the Wi-Fi Received Signal …
statistics and wavelet representations, have been extracted from the Wi-Fi Received Signal …