Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Date
2023-06-18
Major/Subject
Mcode
Degree programme
Language
en
Pages
2
Series
Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services, pp. 588-589
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.Description
| openaire: EC/HE/101095759/EU//Hexa-X-II
Keywords
ambient backscatter communication, IoT, LTE
Other note
Citation
Liao, J, Ruttik, K, Jäntti, R & Phan-Huy, D-T 2023, Demo: UE Assisted Ambient IoT in LTE Downlink, in real-time and open source . in Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services . ACM, Helsinki, pp. 588-589, International Conference on Mobile Systems, Applications, and Services, Helsinki, Finland, 18/06/2023 . https://doi.org/10.1145/3581791.3597285