research-article

Tool release: gathering 802.11n traces with channel state information

Authors:

Daniel Halperin,

Wenjun Hu,

Anmol Sheth,

David WetherallAuthors Info & Claims

ACM SIGCOMM Computer Communication Review, Volume 41, Issue 1

Page 53

https://doi.org/10.1145/1925861.1925870

Published: 22 January 2011 Publication History

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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.

References

[1]

IEEE Std. 802.11n-2009: Enhancements for higher throughput. http://www.ieee802.org, 2009.

Google Scholar

[2]

D.Halperin, W.Hu, A.Sheth, and D.Wetherall. 802.11 with multiple antennas for dummies. ACM SIGCOMM CCR, 40(1), January 2010.

Digital Library

Google Scholar

[3]

D.Halperin, W.Hu, A.Sheth, and D.Wetherall. Predictable 802.1. packet delivery from wireless channel measurements. ACM SIGCOMM, 2010.

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Bi JZhao MZheng GChen TCao HYao GSu FWang TLi WZhang G(2025)Exploiting high-precision AoA estimation method using CSI from a single WiFi stationSignal Processing10.1016/j.sigpro.2024.109750228(109750)Online publication date: Mar-2025
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Wang CDing YZhou MTang L(2024)Wi-Fi sensing gesture control algorithm based on semi-supervised generative adversarial networkPeerJ Computer Science10.7717/peerj-cs.240210(e2402)Online publication date: 30-Oct-2024
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Matsuzaki THoriuchi KShiratsuchi H(2024)Estimating Operating States of Numerical Control Milling Machines Using Wi-Fi Sensing and Channel State InformationInternational Journal of Software Innovation10.4018/IJSI.35845612:1(1-14)Online publication date: 9-Nov-2024
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Index Terms

Tool release: gathering 802.11n traces with channel state information
1. Hardware
  1. Communication hardware, interfaces and storage
2. Networks

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Information

Published In

cover image ACM SIGCOMM Computer Communication Review

ACM SIGCOMM Computer Communication Review Volume 41, Issue 1

January 2011

132 pages

ISSN:0146-4833

DOI:10.1145/1925861

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 January 2011

Published in SIGCOMM-CCR Volume 41, Issue 1

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Bi JZhao MZheng GChen TCao HYao GSu FWang TLi WZhang G(2025)Exploiting high-precision AoA estimation method using CSI from a single WiFi stationSignal Processing10.1016/j.sigpro.2024.109750228(109750)Online publication date: Mar-2025
https://doi.org/10.1016/j.sigpro.2024.109750
Wang CDing YZhou MTang L(2024)Wi-Fi sensing gesture control algorithm based on semi-supervised generative adversarial networkPeerJ Computer Science10.7717/peerj-cs.240210(e2402)Online publication date: 30-Oct-2024
https://doi.org/10.7717/peerj-cs.2402
Matsuzaki THoriuchi KShiratsuchi H(2024)Estimating Operating States of Numerical Control Milling Machines Using Wi-Fi Sensing and Channel State InformationInternational Journal of Software Innovation10.4018/IJSI.35845612:1(1-14)Online publication date: 9-Nov-2024
https://doi.org/10.4018/IJSI.358456
Zhu HDong EXu MLv HWu F(2024)Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five YearsSensors10.3390/s2422719524:22(7195)Online publication date: 10-Nov-2024
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Mosharaf MKwak JChoi W(2024)WiFi-Based Human Identification with Machine Learning: A Comprehensive SurveySensors10.3390/s2419641324:19(6413)Online publication date: 3-Oct-2024
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Cai ZLi ZChen ZZhuo HZheng LWu XLiu Y(2024)Device-Free Wireless Sensing for Gesture Recognition Based on Complementary CSI Amplitude and PhaseSensors10.3390/s2411341424:11(3414)Online publication date: 25-May-2024
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Hao ZHan KZhang ZDang X(2024)Wi-CHAR: A WiFi Sensing Approach with Focus on Both Scenes and Restricted DataSensors10.3390/s2407236424:7(2364)Online publication date: 8-Apr-2024
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Saied IAlzaabi AArslan T(2024)Unobtrusive Sensors for Synchronous Monitoring of Different Breathing Parameters in Care EnvironmentsSensors10.3390/s2407223324:7(2233)Online publication date: 31-Mar-2024
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Ye KWu SCai YZhou LXiao LZhang XZheng ZLin J(2024)Transfer-Learning-Based Human Activity Recognition Using Antenna ArrayRemote Sensing10.3390/rs1605084516:5(845)Online publication date: 28-Feb-2024
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