Novel Direction-of-Arrival-Based Localization in Massive DECT-2020 5G NR Networks

This research investigates an affordable, energy-efficient Direction-of-Arrival (DOA)-based localization solution for Digital Enhanced Cordless Telecommunications (DECT) 2020 New Radio (NR), a new standard lacking a native positioning feature. This standard enables Massive Internet of Things (IoT) n...

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Bibliographic Details
Published in:IEEE internet of things journal 2024-10, p.1-1
Main Authors: Troccoli, Tiago, Damsgaard, Hans Jakob, Pirskanen, Juho, Lohan, Elena Simona, Ometov, Aleksandr, Morte, Jorge, Nurmi, Jari, Kaseva, Ville
Format: Article
Language:English
Subjects:
5G indoor localization
Accuracy
Antenna arrays
Arrays
Bluetooth
Direction of Arrival (DOA)
Direction-of-arrival estimation
Estimation
Internet of Things
Location awareness
massive IoT
Mobile nodes
OFDM
OFDM signals
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Summary:This research investigates an affordable, energy-efficient Direction-of-Arrival (DOA)-based localization solution for Digital Enhanced Cordless Telecommunications (DECT) 2020 New Radio (NR), a new standard lacking a native positioning feature. This standard enables Massive Internet of Things (IoT) networks, a vast 5G network interconnecting an unparalleled number of low-cost and battery-operated smart sensors. However, integrating DOA localization into such networks is challenging due to cost constraints and power limitations. We propose a potentially cost-effective solution using a single Radio-Frequency (RF) chain for uniform L-shaped antenna arrays. Each antenna takes turns sampling the Orthogonal Frequency Division Multiplexing (OFDM) signal via an RF switch, enabled by time-dividing the OFDM signal into sample and switch slots. Further, we introduce a novel DOA method optimized for single Line-of-Sight (LOS) OFDM signals and array sequential sampling. This method leverages the dual shift-invariant properties of L-shaped antenna arrays and the array frequency response to estimate azimuth and elevation angles. Experiments in an indoor environment reveal that at a Signal-to-Noise Ratio (SNR) of 15 dB, over 50% of data achieve sub-degree angular accuracy, increasing to 75% at 20 dB. Thus, over 50% of position estimations fall below the sub-meter error level at 15 dB SNR, rising to nearly 75% at 25 dB SNR. Our findings also indicate that halving the slot rate by proportionately reducing active subcarriers does not compromise accuracy. Experiments on the nRF52480 system-on-chip show the new DOA method is both fast and energy-efficient, taking only 0.76 - 2.26 ms and consuming 5.08 - 15.1 nWh.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2024.3474918