Demo: UE Assisted Ambient Internet of Things in LTE Downlink, Energy Autonomous

Jingyi Liao, Kalle Koskinen, Xiyu Wang, Boxuan Xie, Kalle Ruttik, Riku Jäntti, Dinh-Thuy Phan-Huy

Research output: Contribution to conferencePaperScientific

2 Citations (Scopus)

Abstract

Ambient power enabled Internet of Things a.k.a. Ambient IoT is a novel concept connecting battery-free energy autonomous devices to the Internet. In this paper, we demonstrate the feasibility of using the channel estimator at the user equipment (UE) as a receiver for backscatter signals in LTE downlink. Our real-time demonstrator system consists of signal generator that mimics the operation of a base station (BS), a backscatter device (BD) modulating the incidence signal, and a software defined radio receiver that plays the role of the user equipment. The UE channel estimator and BD demodulation software is implemented with C++ and Python, respectively and made open source. Our results indicate that UE can demodulate the BD signal with bit error less than 10-3 when the downlink signal-to-noise ratio is larger than 10 dB when the pathloss between the BD and UE is less than 13 dB.

Original languageEnglish
Pages588-589
Number of pages2
DOIs
Publication statusPublished - 16 Nov 2023
MoE publication typeNot Eligible
Event6G Summit Abu Dhabi - ROSEWOOD Hotel, Abu Dhabi, United Arab Emirates
Duration: 16 Nov 202317 Nov 2023
https://www.6gsummitabudhabi.com/

Conference

Conference6G Summit Abu Dhabi
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period16/11/202317/11/2023
Internet address

Keywords

  • Ambient Backscatter Communications
  • Channel Estimation
  • LTE Cell Specific Reference Signals

Fingerprint

Dive into the research topics of 'Demo: UE Assisted Ambient Internet of Things in LTE Downlink, Energy Autonomous'. Together they form a unique fingerprint.

Cite this