AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms

Francesco Gringoli; Marco Cominelli; Alejandro Blanco; Joerg Widmer

doi:10.1145/3477086.3480833

AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms

Francesco Gringoli, Marco Cominelli, Alejandro Blanco, Joerg Widmer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Channel state information (CSI) is paramount to modern Wi-Fi communication systems, as it allows for proper equalization of frames at the receiver side and enables advanced signal processing techniques such as beamforming and MIMO. Given that the CSI can accurately mirror physical changes in the wireless channel, CSI analysis has become a valuable resource to many wireless sensing applications based on the opportunistic use of Wi-Fi signals. Since CSI can usually not be accessed by users directly, several CSI extraction tools have been published over the last few years for various Wi-Fi chipsets. In this paper, we present the first system ever capable of extracting CSI from 802.11ax consumer devices using the Broadcom 43684 Wi-Fi chipset. This platform can extract up to 160 MHz-wide CSI using 4x4 MIMO, and it is compatible with the latest HE PHY. We make our CSI extraction tool available to the research community to foster further work on this emerging topic.

Original language	English
Title of host publication	Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery, Inc
Pages	46–53
Number of pages	8
ISBN (Print)	9781450387033
DOIs	https://doi.org/10.1145/3477086.3480833
Publication status	Published - 1 Jan 2022
Event	The 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, 2022 - New Orleans, United States Duration: 1 Apr 2022 → 1 Apr 2022 Conference number: 15 https://ece.northeastern.edu/wintech2021/index.html

Publication series

Name	WiNTECH'21
Publisher	Association for Computing Machinery

Workshop

Workshop	The 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, 2022
Abbreviated title	WiNTECH 2021
Country/Territory	United States
City	New Orleans
Period	1/04/22 → 1/04/22
Internet address	https://ece.northeastern.edu/wintech2021/index.html

Keywords

802.11ax
Wi-Fi
Channel State Information

Access to Document

10.1145/3477086.3480833Licence: All Rights Reserved

https://dl.acm.org/doi/10.1145/3477086.3480833Licence: All Rights Reserved

Cite this

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title = "AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms",

abstract = "Channel state information (CSI) is paramount to modern Wi-Fi communication systems, as it allows for proper equalization of frames at the receiver side and enables advanced signal processing techniques such as beamforming and MIMO. Given that the CSI can accurately mirror physical changes in the wireless channel, CSI analysis has become a valuable resource to many wireless sensing applications based on the opportunistic use of Wi-Fi signals. Since CSI can usually not be accessed by users directly, several CSI extraction tools have been published over the last few years for various Wi-Fi chipsets. In this paper, we present the first system ever capable of extracting CSI from 802.11ax consumer devices using the Broadcom 43684 Wi-Fi chipset. This platform can extract up to 160 MHz-wide CSI using 4x4 MIMO, and it is compatible with the latest HE PHY. We make our CSI extraction tool available to the research community to foster further work on this emerging topic.",

keywords = "802.11ax, Wi-Fi, Channel State Information",

author = "Francesco Gringoli and Marco Cominelli and Alejandro Blanco and Joerg Widmer",

note = "Funding Information: This work has been co-funded/supported by the German Research Foundation (DFG) in the Collaborative Research Center (SFB) 1053 MAKI; and was sponsored in part by the Spanish Ministry of Science and Innovation (MICIU) grant RTI2018-094313-B-I00 (PinPoint5G+) and the Region of Madrid through TAPIR-CM (S2018/TCS-4496). Publisher Copyright: {\textcopyright} 2022 ACM.; The 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, 2022, WiNTECH 2021 ; Conference date: 01-04-2022 Through 01-04-2022",

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doi = "10.1145/3477086.3480833",

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series = "WiNTECH'21",

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Gringoli, F, Cominelli, M, Blanco, A & Widmer, J 2022, AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms. in Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization. WiNTECH'21, Association for Computing Machinery, Inc, New York, NY, USA, pp. 46–53, The 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, 2022, New Orleans, United States, 1/04/22. https://doi.org/10.1145/3477086.3480833

AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms. / Gringoli, Francesco; Cominelli, Marco; Blanco, Alejandro et al.

Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization. New York, NY, USA : Association for Computing Machinery, Inc, 2022. p. 46–53 (WiNTECH'21).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms

AU - Gringoli, Francesco

AU - Cominelli, Marco

AU - Blanco, Alejandro

AU - Widmer, Joerg

N1 - Conference code: 15

PY - 2022/1/1

Y1 - 2022/1/1

N2 - Channel state information (CSI) is paramount to modern Wi-Fi communication systems, as it allows for proper equalization of frames at the receiver side and enables advanced signal processing techniques such as beamforming and MIMO. Given that the CSI can accurately mirror physical changes in the wireless channel, CSI analysis has become a valuable resource to many wireless sensing applications based on the opportunistic use of Wi-Fi signals. Since CSI can usually not be accessed by users directly, several CSI extraction tools have been published over the last few years for various Wi-Fi chipsets. In this paper, we present the first system ever capable of extracting CSI from 802.11ax consumer devices using the Broadcom 43684 Wi-Fi chipset. This platform can extract up to 160 MHz-wide CSI using 4x4 MIMO, and it is compatible with the latest HE PHY. We make our CSI extraction tool available to the research community to foster further work on this emerging topic.

AB - Channel state information (CSI) is paramount to modern Wi-Fi communication systems, as it allows for proper equalization of frames at the receiver side and enables advanced signal processing techniques such as beamforming and MIMO. Given that the CSI can accurately mirror physical changes in the wireless channel, CSI analysis has become a valuable resource to many wireless sensing applications based on the opportunistic use of Wi-Fi signals. Since CSI can usually not be accessed by users directly, several CSI extraction tools have been published over the last few years for various Wi-Fi chipsets. In this paper, we present the first system ever capable of extracting CSI from 802.11ax consumer devices using the Broadcom 43684 Wi-Fi chipset. This platform can extract up to 160 MHz-wide CSI using 4x4 MIMO, and it is compatible with the latest HE PHY. We make our CSI extraction tool available to the research community to foster further work on this emerging topic.

KW - 802.11ax

KW - Wi-Fi

KW - Channel State Information

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M3 - Conference contribution

SN - 9781450387033

T3 - WiNTECH'21

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EP - 53

BT - Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization

PB - Association for Computing Machinery, Inc

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T2 - The 15th ACM Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization, 2022

Y2 - 1 April 2022 through 1 April 2022

ER -

Gringoli F, Cominelli M, Blanco A, Widmer J. AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms. In Proceedings of the 15th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization. New York, NY, USA: Association for Computing Machinery, Inc. 2022. p. 46–53. (WiNTECH'21). Epub 2021 Oct 25. doi: 10.1145/3477086.3480833

AX-CSI: Enabling CSI Extraction on Commercial 802.11ax Wi-Fi Platforms

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Keywords

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