Journal ArticleDOI
Tool release: gathering 802.11n traces with channel state information
Daniel Halperin,Wenjun Hu,Anmol Sheth,David Wetherall +3 more
- Vol. 41, Iss: 1, pp 53-53
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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.read more
Citations
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Proceedings ArticleDOI
Indoor Distance Estimation using LSTMs over WLAN Network
TL;DR: In this article, a self-adaptive WiFi-based indoor distance estimation system using LSTMs is presented. But, due to the strong spatial and temporal variations of wireless communication channels in the indoor environment, the achieved accuracy of existing IPS is around several tens of centimeters.
Book ChapterDOI
A Self-adaptivity Indoor Ranging Algorithm Based on Channel State Information with Weight Gray Prediction Model
Jingjing Wang,Joon Goo Park +1 more
TL;DR: In this article, the authors proposed a CSI-based indoor ranging method using a gray prediction method that generates CSI predictions, which achieves significant ranging accuracy improvement over using an effective CSI ranging method, while it incurs much less computational complexity.
Proceedings ArticleDOI
WiLay: building wi-fi-based human activity recognition system through activity hierarchical relationship
TL;DR: To recognize 7 different activities, WiLay used an activity-oriented process to select and extract features according to the hierarchical relationship between different Activities, and trained multiple classifiers to build its layer-structured recognition system.
Dissertation
Feature Extraction In Noise-Diverse Environments For Human Activities Recognition Using Wi-Fi
TL;DR: This dissertation presents WiChase framework which extracts anomalous CSI data and processes it to sense and classify surrounding human activities and automates the data extraction and activity labeling based on the variance of multipleinput and multiple-output (MIMO) subcarriers.
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.