DeepWiFi: Cognitive WiFi with deep learning

K Davaslioglu, S Soltani, T Erpek… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We present the DeepWiFi protocol, which hardens the baseline WiFi (IEEE 802.11 ac) with
deep learning and sustains high throughput by mitigating out-of-network interference …

Wiimg: Pushing the limit of wifi sensing with low transmission rates

K Yang, X Zheng, J Xiong, L Liu… - 2022 19th Annual IEEE …, 2022 - ieeexplore.ieee.org
WiFi has achieved great success in data communication in the past two decades and WiFi
signals are recently further exploited for sensing purposes. Promising progress has been …

WiFi-Nano: Reclaiming WiFi efficiency through 800 ns slots

E Magistretti, KK Chintalapudi, B Radunovic… - Proceedings of the 17th …, 2011 - dl.acm.org
The increase in WiFi physical layer transmission speeds from 1~ Mbps to 1 Gbps has
reduced transmission times for a 1500 byte packet from 12 ms to 12 us. However, WiFi MAC …

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 …

BlueFi: bluetooth over WiFi

HW Cho, KG Shin - Proceedings of the 2021 ACM SIGCOMM 2021 …, 2021 - dl.acm.org
Bluetooth and WiFi are the two dominant technologies enabling the communication of
mobile and IoT devices. Built with specific design goals and principles, they are vastly …

LiFi: Line-of-sight identification with WiFi

Z Zhou, Z Yang, C Wu, W Sun… - IEEE INFOCOM 2014 …, 2014 - ieeexplore.ieee.org
Wireless LANs, especially WiFi, have been pervasively deployed and have fostered myriad
wireless communication services and ubiquitous computing applications. A primary concern …

RF fingerprinting needs attention: Multi-task approach for real-world WiFi and Bluetooth

A Jagannath, Z Kane… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
A novel cross-domain attentional multi-task architecture-xDom-for robust real-world wireless
radio frequency (RF) fingerprinting is presented in this work. To the best of our knowledge …

Channel selective activity recognition with WiFi: A deep learning approach exploring wideband information

F Wang, W Gong, J Liu, K Wu - IEEE Transactions on Network …, 2018 - ieeexplore.ieee.org
WiFi-based human activity recognition explores the correlations between body movement
and the reflected WiFi signals to classify different activities. State-of-the-art solutions mostly …

SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing

J Yang, X Chen, H Zou, CX Lu, D Wang, S Sun, L Xie - Patterns, 2023 - cell.com
Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …

Reinforcement learning approach for hybrid WiFi-VLC networks

AM Alenezi, KA Hamdi - 2020 IEEE 91st Vehicular Technology …, 2020 - ieeexplore.ieee.org
The number of mobile devices in indoor environment has dramatically increased and the
capacity of conventional RF wireless networks may not be enough to support the indoor …