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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Journal ArticleDOI
Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning
TL;DR: Zhang et al. as mentioned in this paper proposed an activity-related feature extraction and enhancement (AFEE) method and matching network to enhance channel state information (CSI)-based human activity recognition (HAR).
Journal ArticleDOI
WiFederated: Scalable WiFi Sensing Using Edge-Based Federated Learning
TL;DR: In this paper , a federated learning (FL) approach is proposed to train machine learning models for WiFi sensing tasks, where client devices can not only perform training in parallel at the edge instead of sequentially at a central server but can also collaboratively learn and share generalizable location-independent traits about physical actions being monitored.
Proceedings ArticleDOI
WiAgent: Link Selection for CSI-Based Activity Recognition in Densely Deployed Wi-Fi Environments
TL;DR: A novel Wi-Fi link selection model on the basis of continuous state decision-making process in which CSI is modeled as a part of the state, referred to as WiAgent, which performs better than other solutions in a given environment where multipleWi-Fi transmitters exist.
Proceedings ArticleDOI
Channel State Information Compression for MIMO Systems Based on Curve Fitting
Avishek Mukherjee,Zhenghao Zhang +1 more
TL;DR: CSIFit, an algorithm that compresses the Channel State Information of Wi-Fi networks with Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input Multiple Output (MIMO) with many optimizations to improve the convergence speed and accuracy is proposed.
Proceedings ArticleDOI
Practical Issues and Challenges in CSI-based Integrated Sensing and Communication
TL;DR: In this article , the authors identify ten major practical and theoretical problems that hinder real deployment of integrated sensing and communication (ISAC) applications, and provide possible solutions to those critical challenges, which will inspire further research to evolve existing WiFi/4G/5G networks into next-generation intelligent wireless network (i.e., 6G).
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.
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802.11 with multiple antennas for dummies
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