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Free Your CSI: A Channel State Information Extraction Platform For Modern Wi-Fi Chipsets

Gringoli, Francesco ; Schulz, Matthias ; Link, Jakob ; Hollick, Matthias (2019)
Free Your CSI: A Channel State Information Extraction Platform For Modern Wi-Fi Chipsets.
13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization (WiNTECH ’19). Los Cabos, Mexico (25.10.2019)
doi: 10.1145/3349623.3355477
Conference or Workshop Item, Bibliographie

Abstract

Modern wireless transmission systems heavily benefit from knowing the channel response. The evaluation of Channel State Information (CSI) during the reception of a frame preamble is fundamental to properly equalizing the rest of the transmission at the receiver side. Reporting this state information back to the transmitter facilitates mechanisms such as beamforming and MIMO, thus boosting the network performance. While these features are an integral part of standards such as 802.11ac, accessing CSI data on commercial devices is either not possible, limited to outdated chipsets or very inflexible. This hinders the research and development of innovative CSI-dependent techniques including localization, object tracking, and interference evaluation. To help researchers and practitioners, we introduce the nexmon CSI Extractor Tool. It allows per-frame CSI extraction for up to four spatial streams using up to four receive chains on modern Broadcom and Cypress Wi-Fi chips with up to 80MHz bandwidth in both the 2.4 and 5GHz bands. The tool supports devices ranging from the low-cost Raspberry Pi platform, over mobile platforms such as Nexus smartphones to state-of-the-art Wi-Fi APs. We release all tools and Wi-Fi firmware patches as extensible open source project. It includes our user-friendly smartphone application to demonstrate the CSI extraction capabilities in form of a waterfall diagram.

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Gringoli, Francesco ; Schulz, Matthias ; Link, Jakob ; Hollick, Matthias
Type of entry: Bibliographie
Title: Free Your CSI: A Channel State Information Extraction Platform For Modern Wi-Fi Chipsets
Language: English
Date: 4 October 2019
Publisher: ACM
Book Title: WiNTECH '19: Proceedings of the 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization
Event Title: 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization (WiNTECH ’19)
Event Location: Los Cabos, Mexico
Event Dates: 25.10.2019
DOI: 10.1145/3349623.3355477
URL / URN: https://dl.acm.org/doi/abs/10.1145/3349623.3355477
Abstract:

Modern wireless transmission systems heavily benefit from knowing the channel response. The evaluation of Channel State Information (CSI) during the reception of a frame preamble is fundamental to properly equalizing the rest of the transmission at the receiver side. Reporting this state information back to the transmitter facilitates mechanisms such as beamforming and MIMO, thus boosting the network performance. While these features are an integral part of standards such as 802.11ac, accessing CSI data on commercial devices is either not possible, limited to outdated chipsets or very inflexible. This hinders the research and development of innovative CSI-dependent techniques including localization, object tracking, and interference evaluation. To help researchers and practitioners, we introduce the nexmon CSI Extractor Tool. It allows per-frame CSI extraction for up to four spatial streams using up to four receive chains on modern Broadcom and Cypress Wi-Fi chips with up to 80MHz bandwidth in both the 2.4 and 5GHz bands. The tool supports devices ranging from the low-cost Raspberry Pi platform, over mobile platforms such as Nexus smartphones to state-of-the-art Wi-Fi APs. We release all tools and Wi-Fi firmware patches as extensible open source project. It includes our user-friendly smartphone application to demonstrate the CSI extraction capabilities in form of a waterfall diagram.

Uncontrolled Keywords: csi extraction, ofdm, 802.11, wi-fi, channel-state-information, emergenCITY_KOM
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Sichere Mobile Netze
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A3: Migration
TU-Projects: HMWK|III L6-519/03/05.001-(0016)|emergenCity TP Bock
Date Deposited: 22 Apr 2020 08:19
Last Modified: 23 May 2022 07:07
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