Free your CSI: A channel state information extraction platform for modern Wi-Fi chipsets

F Gringoli, M Schulz, J Link, M Hollick - Proceedings of the 13th …, 2019 - dl.acm.org
Modern wireless transmission systems heavily benefit from knowing the channel response.
The evaluation of Channel State Information (CSI) during the reception of a frame preamble …

Wi-COVID: A COVID-19 symptom detection and patient monitoring framework using WiFi

F Li, M Valero, H Shahriar, RA Khan, SI Ahamed - Smart Health, 2021 - Elsevier
Abstract The current SARS-CoV-2, better know as COVID-19, has emerged as a serious
pandemic with life-threatening clinical manifestations and a high mortality rate. One of the …

Shadow Wi-Fi: Teaching smartphones to transmit raw signals and to extract channel state information to implement practical covert channels over Wi-Fi

M Schulz, J Link, F Gringoli, M Hollick - Proceedings of the 16th Annual …, 2018 - dl.acm.org
Wi-Fi chips offer vast capabilities, which are not accessible through the manufacturers'
official firmwares. Unleashing those capabilities can enable innovative applications on off …

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 …

[PDF][PDF] JamLab-NG: Benchmarking Low-Power Wireless Protocols under Controllable and Repeatable Wi-Fi Interference.

M Schuß, CA Boano, M Weber, M Schulz, M Hollick… - …, 2019 - carloalbertoboano.com
Evaluating the performance of low-power wireless protocols in noisy environments in a
repeatable and fullyautomated way is still an open problem in our community. On the one …

FreeLoc: Wireless-based cross-domain device-free fingerprints localization to free user's motions

D Yan, F Shang, P Yang, F Han… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Due to contactless and convenient experiences, WiFi-based device-free fingerprints
localization technologies have extensively attracted research attention. However, they are …

The Nexmon firmware analysis and modification framework: Empowering researchers to enhance Wi-Fi devices

M Schulz, D Wegemer, M Hollick - Computer Communications, 2018 - Elsevier
Abstract The most widespread Wi-Fi enabled devices are smartphones. They are mobile,
close to people and available in large quantities, which makes them perfect candidates for …

A general approach for traffic classification in wireless networks using deep learning

M Camelo, P Soto, S Latré - IEEE Transactions on Network and …, 2021 - ieeexplore.ieee.org
Traffic Classification (TC) systems allow inferring the application that is generating the traffic
being analyzed. State-of-the-art TC algorithms are based on Deep Learning (DL) and have …

Smartphone-based indoor fingerprinting localization using channel state information

P Chen, F Liu, S Gao, P Li, X Yang, Q Niu - IEEE Access, 2019 - ieeexplore.ieee.org
Indoor localization technology plays an important role in many indoor application scenarios.
Existing WiFi-based indoor localization methods mainly obtain channel state information …

TransFi: Emulating custom wireless physical layer from commodity WiFi

R Chen, W Gao - Proceedings of the 20th Annual International …, 2022 - dl.acm.org
New wireless physical-layer designs are the key to improving wireless network performance.
Adopting these new designs, however, requires modifications on wireless hardware and is …