Channel Independent Wi-Fi Backscatter Networks

Taekyung Kim; Wonjun Lee

doi:10.1109/INFOCOM.2019.8737376

Channel Independent Wi-Fi Backscatter Networks

Taekyung Kim, Wonjun Lee

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

10 Citations (Scopus)

Abstract

Wi-Fi backscatter is an emerging technique that enables ultra-low power wireless communications thanks to the simplicity of a backscatter tag. This simplicity drastically reduces communication power. However, this simplicity also removes channel selectivity of the backscatter tag. In this regard, we introduce two issues, violation of the wireless regulations and the waste of resources, in Wi-Fi backscatter networks. To solve these problems, we introduce channel independent packet detection and error vector demodulation. We first design a backscatter receiver accepting Wi-Fi frames on the listening channel as well as adjacent channels, because the backscatter tag responds to all incoming signals regardless of their frequencies. We then investigate how the error vectors of each subcarrier are changed in Wi-Fi backscatter systems. Based on the analysis, we propose a method that translates the error vectors into a backscatter frame. We implement and evaluate our design with commodity 802.11n access points as carrier sources, a software-defined radio as a receiver, and a 2.4 GHz backscatter tag. The results show that channel independent Wi-Fi backscatter is always better than channel dependent approaches.

Original language	English
Title of host publication	INFOCOM 2019 - IEEE Conference on Computer Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	262-270
Number of pages	9
ISBN (Electronic)	9781728105154
DOIs	https://doi.org/10.1109/INFOCOM.2019.8737376
Publication status	Published - 2019 Apr
Event	2019 IEEE Conference on Computer Communications, INFOCOM 2019 - Paris, France Duration: 2019 Apr 29 → 2019 May 2

Publication series

Name	Proceedings - IEEE INFOCOM
Volume	2019-April
ISSN (Print)	0743-166X

Conference

Conference	2019 IEEE Conference on Computer Communications, INFOCOM 2019
Country/Territory	France
City	Paris
Period	19/4/29 → 19/5/2

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was partly sponsored by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (No. 2017R1A2B2004811), and Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2017M3C4A7083676). Wonjun Lee is the corresponding author.

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

Access to Document

10.1109/INFOCOM.2019.8737376

Cite this

Kim, T & Lee, W 2019, Channel Independent Wi-Fi Backscatter Networks. in INFOCOM 2019 - IEEE Conference on Computer Communications., 8737376, Proceedings - IEEE INFOCOM, vol. 2019-April, Institute of Electrical and Electronics Engineers Inc., pp. 262-270, 2019 IEEE Conference on Computer Communications, INFOCOM 2019, Paris, France, 19/4/29. https://doi.org/10.1109/INFOCOM.2019.8737376

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abstract = "Wi-Fi backscatter is an emerging technique that enables ultra-low power wireless communications thanks to the simplicity of a backscatter tag. This simplicity drastically reduces communication power. However, this simplicity also removes channel selectivity of the backscatter tag. In this regard, we introduce two issues, violation of the wireless regulations and the waste of resources, in Wi-Fi backscatter networks. To solve these problems, we introduce channel independent packet detection and error vector demodulation. We first design a backscatter receiver accepting Wi-Fi frames on the listening channel as well as adjacent channels, because the backscatter tag responds to all incoming signals regardless of their frequencies. We then investigate how the error vectors of each subcarrier are changed in Wi-Fi backscatter systems. Based on the analysis, we propose a method that translates the error vectors into a backscatter frame. We implement and evaluate our design with commodity 802.11n access points as carrier sources, a software-defined radio as a receiver, and a 2.4 GHz backscatter tag. The results show that channel independent Wi-Fi backscatter is always better than channel dependent approaches.",

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note = "Funding Information: ACKNOWLEDGMENT This research was partly sponsored by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (No. 2017R1A2B2004811), and Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2017M3C4A7083676). Wonjun Lee is the corresponding author. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Conference on Computer Communications, INFOCOM 2019 ; Conference date: 29-04-2019 Through 02-05-2019",

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N2 - Wi-Fi backscatter is an emerging technique that enables ultra-low power wireless communications thanks to the simplicity of a backscatter tag. This simplicity drastically reduces communication power. However, this simplicity also removes channel selectivity of the backscatter tag. In this regard, we introduce two issues, violation of the wireless regulations and the waste of resources, in Wi-Fi backscatter networks. To solve these problems, we introduce channel independent packet detection and error vector demodulation. We first design a backscatter receiver accepting Wi-Fi frames on the listening channel as well as adjacent channels, because the backscatter tag responds to all incoming signals regardless of their frequencies. We then investigate how the error vectors of each subcarrier are changed in Wi-Fi backscatter systems. Based on the analysis, we propose a method that translates the error vectors into a backscatter frame. We implement and evaluate our design with commodity 802.11n access points as carrier sources, a software-defined radio as a receiver, and a 2.4 GHz backscatter tag. The results show that channel independent Wi-Fi backscatter is always better than channel dependent approaches.

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Channel Independent Wi-Fi Backscatter Networks

Abstract

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Bibliographical note

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