Data Assisted Backscatter Communications Using DECT-2020 NR+ as Ambient Signal
Loading...
Access rights
openAccess
CC BY
CC BY
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)
Other link related to publication (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)
Other link related to publication (opens in new window)
Unless otherwise stated, all rights belong to the author. You may download, display and print this publication for Your own personal use. Commercial use is prohibited.
Date
Major/Subject
Mcode
Degree programme
Language
en
Pages
5
Series
SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings, pp. 1-5, SPAWC
Abstract
The Digital Enhanced Cordless Telecommunications (DECT-2020) New Radio (NR+), standardized by the European Telecommunications Standards Institute (ETSI), addresses International Telecommunication Union (ITU) IMT-2020 requirements for Internet of Things (IoT) and Industrial IoT. Although DECT-2020 NR+ offers robust connectivity, it does not support ultra-low power or batteryless operation. The 3rd Generation Partnership Project's (3GPP's) Ambient Internet of Things (AIoT) initiative targets ultra-low power IoT devices operating on harvested ambient energy, with backscatter communication as a promising technology. This paper integrates backscatter-based AIoT functionality into DECT networks, leveraging existing DECT transmissions and data-assisted channel estimation to recover backscattered information. An Ambient Backscatter Communication (AmBC) receiver is symbiotically embedded within the DECT receiver, using Received Signal Strength (RSS) of DECT data traffic. We open-sourced the Matlab code for the DECT receiver in a Software-Defined Radio (SDR) platform. Over-the-air experiments demonstrate feasibility, achieving Bit Error Rate (BER) performance as low as 0.02 under optimal conditions.Description
| openaire: EC/HE/101192113/EU//AMBIENT-6G
Keywords
Artificial intelligence, Backscatter, Bit error rate, Internet of Things, Low power electronics, Performance evaluation, Receivers, Software radio, Telecommunications, Wireless networks, Ambient Backscatter Communications, Digital Enhanced Cordless Telecommunication, Received Signal Strength, Open-source Software, Software-Defined Radio
Other note
Citation
Liao, J, Ruttik, K, Jäntti, R & Han, Z 2025, Data Assisted Backscatter Communications Using DECT-2020 NR+ as Ambient Signal. in SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings., 11143257, SPAWC, IEEE, pp. 1-5, IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, Surrey, United Kingdom, 07/07/2025. https://doi.org/10.1109/SPAWC66079.2025.11143257