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Title: Harnessing the Power of Repetition Structure in Ultra-Narrowband IoT
In this paper, we present a method for decoding uplink messages in Internet of Things (IoT) networks that employ packet repetition. We focus on the Sigfox protocol, but our approach is applicable to other IoT protocols that employ message repetition. Our approach endeavors to enhance the reliability of message capture as well as the error rate performance at the base station. To achieve this goal, we propose a novel technique that capitalizes on the unique features of the IoT network’s uplink transmission structure. Through simulations, we demonstrate the effectiveness of our method in various scenarios, including single-user and multi-user setups. We establish the resilience of our approach under higher system loads and interference conditions, showcasing its potential to improve IoT network performance and reliability even when a large number of devices operates over limited spectrum. Our findings reveal the potential of the proposed method as a promising solution for enabling more dependable and energy-efficient communication in IoT Low Power Wide Area Networks.  more » « less
Award ID(s):
2118002
PAR ID:
10516593
Author(s) / Creator(s):
; ; ;
Corporate Creator(s):
Editor(s):
NA
Publisher / Repository:
IEEE
Date Published:
ISBN:
978-1-6654-9626-1
Page Range / eLocation ID:
496 to 500
Subject(s) / Keyword(s):
Generalized Canonical Correlation Analysis (GCCA), Random Access Protocols, Frequency-Hopping Spread Spectrum (FHSS), Internet of Things (IoT), SigFox.
Format(s):
Medium: X
Location:
Shanghai, China
Sponsoring Org:
National Science Foundation
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