Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview

N Singh, S Choe, R Punmiya - IEEE access, 2021 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Survey on WiFi‐based indoor positioning techniques

F Liu, J Liu, Y Yin, W Wang, D Hu, P Chen… - IET …, 2020 - Wiley Online Library
With the rapid development of wireless communication technology, various indoor location‐
based services (ILBSs) have gradually penetrated into daily life. Although many other …

WiDeep: WiFi-based accurate and robust indoor localization system using deep learning

M Abbas, M Elhamshary, H Rizk… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …

MetaLoc: Learning to learn wireless localization

J Gao, D Wu, F Yin, Q Kong, L Xu… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
Existing localization methods that intensively leverage the environment-specific received
signal strength (RSS) or channel state information (CSI) of wireless signals are rather …

PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices

X Wang, C Yang, S Mao - 2017 IEEE 37th international …, 2017 - ieeexplore.ieee.org
Vital signs, such as respiration and heartbeat, are useful to health monitoring since such
signals provide important clues of medical conditions. Effective solutions are needed to …

Deep convolutional neural networks for indoor localization with CSI images

X Wang, X Wang, S Mao - IEEE Transactions on Network …, 2018 - ieeexplore.ieee.org
With the increasing demand of location-based services, Wi-Fi based localization has
attracted great interest because it provides ubiquitous access in indoor environments. In this …

Deep learning-based indoor localization using received signal strength and channel state information

CH Hsieh, JY Chen, BH Nien - IEEE access, 2019 - ieeexplore.ieee.org
Indoor localization has received wide attention recently due to the potential use of wide
range of intelligent services. This paper presents a deep learning-based approach for indoor …

Commodity WiFi sensing in ten years: Status, challenges, and opportunities

S Tan, Y Ren, J Yang, Y Chen - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The prevalence of WiFi devices and ubiquitous coverage of WiFi networks provide us the
opportunity to extend WiFi capabilities beyond communication, particularly in sensing 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 …