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Efficient LTE Backscatter with Uncontrolled Ambient Traffic

Yifan Yang, Yunyun Feng, Wei Gong*, Yu Yang

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Ambient LTE backscatter is a promising way to enable ubiquitous wireless communication with ultra-low power and cost. However, modulation in previous LTE backscatter systems relies heavily on the original data (content) of the signals. They either demodulate tag data using an additional receiver to provide the content of the excitation or modulate on a few predefined reference signals in random ambient LTE traffic.
This paper presents CABLTE, a content-agnostic backscatter system that efficiently utilizes uncontrolled LTE PHY resources for backscatter communication using a single receiver. Our system is superior to prior work in two aspects: 1) Using one receiver to obtain tag data makes CABLTE more practical in real-world applications, and 2) Efficient modulation on LTE PYH resources improves the data rate of backscatter communication. To obtain the tag data without knowing the ambient content, we design a checksum-based codeword translation method. We also propose a customized channel estimation scheme and a signal identification component in the backscatter system to ensure our accurate modulation and demodulation. Extensive experiments show that our CABLTE provides maximum tag throughput of 22 kbps, which is 3.67x higher than the content-agnostic system CAB and even 1.38x higher than the content-based system SyncLTE. ©2024 IEEE.
Original languageEnglish
Title of host publicationEEE INFOCOM 2024 - IEEE Conference on Computer Communications
PublisherIEEE
Pages1781-1790
ISBN (Electronic)979-8-3503-8350-8
ISBN (Print)979-8-3503-8351-5
DOIs
Publication statusPublished - 2024
Event2024 IEEE Conference on Computer Communications (INFOCOM 2024) - Hyatt Regency, Vancouver, Canada
Duration: 20 May 202423 May 2024
https://infocom2024.ieee-infocom.org/

Publication series

Name
ISSN (Print)0743-166X
ISSN (Electronic)2641-9874

Conference

Conference2024 IEEE Conference on Computer Communications (INFOCOM 2024)
Abbreviated titleIEEE INFOCOM 2024
PlaceCanada
CityVancouver
Period20/05/2423/05/24
Internet address

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Funding

Yu Yang’s research is supported in part by City University of Hong Kong and Hong Kong RGC. This work was also supported by NSFC Grant No. 61932017 and 61971390. The authors would like to thank Information Science Laboratory Center of USTC for the hardware services.

Research Keywords

  • Internet of Things
  • ambient backscatter
  • LTE

RGC Funding Information

  • RGC-funded

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