scispace - formally typeset
Journal ArticleDOI

Tool release: gathering 802.11n traces with channel state information

TLDR
The measurement setup comprises the customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab scripts for data analysis.
Abstract
We are pleased to announce the release of a tool that records detailed measurements of the wireless channel along with received 802.11 packet traces. It runs on a commodity 802.11n NIC, and records Channel State Information (CSI) based on the 802.11 standard. Unlike Receive Signal Strength Indicator (RSSI) values, which merely capture the total power received at the listener, the CSI contains information about the channel between sender and receiver at the level of individual data subcarriers, for each pair of transmit and receive antennas.Our toolkit uses the Intel WiFi Link 5300 wireless NIC with 3 antennas. It works on up-to-date Linux operating systems: in our testbed we use Ubuntu 10.04 LTS with the 2.6.36 kernel. The measurement setup comprises our customized versions of Intel's close-source firmware and open-source iwlwifi wireless driver, userspace tools to enable these measurements, access point functionality for controlling both ends of the link, and Matlab (or Octave) scripts for data analysis. We are releasing the binary of the modified firmware, and the source code to all the other components.

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Citations
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Proceedings ArticleDOI

MetaFi: Device-Free Pose Estimation via Commodity WiFi for Metaverse Avatar Simulation

TL;DR: A WiFi-based IoT-enabled human pose estimation scheme for metaverse avatar simulation, namely MetaFi, which is enforced to learn the annotations from the accurate computer vision model, thus achieving cross- modal supervision.
Posted Content

CSI2Image: Image Reconstruction from Channel State Information Using Generative Adversarial Networks.

TL;DR: The results demonstrate that generator-only learning is sufficient for simple wireless sensing problems; however, in complex wireless sensing Problems, GANs are essential for reconstructing generalized images with more accurate physical space information.
Proceedings ArticleDOI

Counting a stationary crowd using off-the-shelf wifi

TL;DR: In this article, a pair of WiFi transceivers are used to count a crowd of stationary people, and the probability distribution function (PDF) of the crowd fidgeting and silent periods is derived from the received WiFi signal.
Journal ArticleDOI

A lightweight physical-layer based security strategy for Internet of things

TL;DR: A lightweight authenticated secret key extraction is proposed based on the frequency-selectivity of multipath fading channels to perform location-based device authentication and fast secretKey extraction to exploit the received signal strength of multi freqencies.
Journal ArticleDOI

If WiFi APs Could Move: A Measurement Study

TL;DR: Although infrastructure mobility has been discussed in the context of Google Balloons, ad hoc networks, and delay tolerant networks, it is believed that the possibility of moving personal devices in homes and offices is relatively unexplored, and could open doors to new kinds of innovation.
References
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Proceedings ArticleDOI

Predictable 802.11 packet delivery from wireless channel measurements

TL;DR: It is shown that, for the first time, wireless packet delivery can be accurately predicted for commodity 802.11 NICs from only the channel measurements that they provide, and the rate prediction is as good as the best rate adaptation algorithms for 802.
Journal ArticleDOI

ACM SIGCOMM computer communication review

TL;DR: The Internet is going mobile and wireless, perhaps quite soon, with a number of diverse technologies leading the charge, including, 3G cellular networks based on CDMA technology, a wide variety of what is deemed 2.5G cellular technologies (e.g., EDGE, GPRS and HDR), and IEEE 802.11 wireless local area networks (WLANs).
Journal ArticleDOI

802.11 with multiple antennas for dummies

TL;DR: This tutorial provides a brief introduction to multiple antenna techniques, and describes the two main classes of those techniques, spatial diversity and spatial multiplexing.
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