We propose a software-defined testbed for Wi-Fi channel-state information (CSI) acquisition. This testbed features distributed software-defined radios (SDRs) and a custom IEEE 802.11a software stack that enables the passive collection of CSI data from commercial off-the-shelf (COTS) devices that connect to an existing Wi-Fi network. Unlike commodity Wi-Fi sniffers or channel sounders, our software-defined testbed enables a quick exploration of advanced CSI estimation algorithms in real-world scenarios from naturally-generated Wi-Fi traffic. We explore the effectiveness of two advanced algorithms that denoise CSI estimates, and we demonstrate that CSI-based positioning of COTS Wi-Fi devices with a multilayer perceptron is feasible in an indoor office/lab space in which people are moving.
@article{arxiv.2412.07588,
title = {A Software-Defined and Distributed Wi-Fi Channel-State Information Acquisition Testbed},
author = {Frederik Zumegen and Christoph Studer},
journal= {arXiv preprint arXiv:2412.07588},
year = {2024}
}
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Presented at the 58th Asilomar Conference on Signals, Systems, and Computers