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Free your CSI: A channel state information extraction platform for modern Wi-Fi chipsets
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 …
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
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 …
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
Wi-Fi chips offer vast capabilities, which are not accessible through the manufacturers'
official firmwares. Unleashing those capabilities can enable innovative applications on off …
official firmwares. Unleashing those capabilities can enable innovative applications on off …
DeepWiFi: Cognitive WiFi with deep learning
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 …
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.
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 …
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
Due to contactless and convenient experiences, WiFi-based device-free fingerprints
localization technologies have extensively attracted research attention. However, they are …
localization technologies have extensively attracted research attention. However, they are …
The Nexmon firmware analysis and modification framework: Empowering researchers to enhance Wi-Fi devices
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 …
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
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 …
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 …
Existing WiFi-based indoor localization methods mainly obtain channel state information …
TransFi: Emulating custom wireless physical layer from commodity WiFi
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 …
Adopting these new designs, however, requires modifications on wireless hardware and is …