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
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part of standards such as 802.11ac, accessing CSI data on commercial devices is either not possible, limited to outdated chipsets or very inflexible.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 |
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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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