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Success Probability Characterization of Long-Range in Low-Power Wide Area Networks

In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread s...

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Autores principales: Kim, Yi-Kang, Kim, Seung-Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730519/
https://www.ncbi.nlm.nih.gov/pubmed/33266192
http://dx.doi.org/10.3390/s20236861
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author Kim, Yi-Kang
Kim, Seung-Yeon
author_facet Kim, Yi-Kang
Kim, Seung-Yeon
author_sort Kim, Yi-Kang
collection PubMed
description In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread spectrum (CSS) in the media access control (MAC) and physical (PHY) layers such that it can improve the energy efficiency while mitigating inter-cell interference (ICI). This paper investigates the system throughput of LoRa networks under the assumption that the interferences between EDs for exclusive regions are ignored using CSS. In order to establish an analytical model for the performance of LoRa, we introduce the pure ALOHA capture model, which is the power threshold model. For this model, we assume that the interfering power is proportional to the length of the time overlapped. In addition, we discuss LoRa gain by comparing the total throughput of LoRa with that of non-CSS.
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spelling pubmed-77305192020-12-12 Success Probability Characterization of Long-Range in Low-Power Wide Area Networks Kim, Yi-Kang Kim, Seung-Yeon Sensors (Basel) Letter In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread spectrum (CSS) in the media access control (MAC) and physical (PHY) layers such that it can improve the energy efficiency while mitigating inter-cell interference (ICI). This paper investigates the system throughput of LoRa networks under the assumption that the interferences between EDs for exclusive regions are ignored using CSS. In order to establish an analytical model for the performance of LoRa, we introduce the pure ALOHA capture model, which is the power threshold model. For this model, we assume that the interfering power is proportional to the length of the time overlapped. In addition, we discuss LoRa gain by comparing the total throughput of LoRa with that of non-CSS. MDPI 2020-11-30 /pmc/articles/PMC7730519/ /pubmed/33266192 http://dx.doi.org/10.3390/s20236861 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Letter
Kim, Yi-Kang
Kim, Seung-Yeon
Success Probability Characterization of Long-Range in Low-Power Wide Area Networks
title Success Probability Characterization of Long-Range in Low-Power Wide Area Networks
title_full Success Probability Characterization of Long-Range in Low-Power Wide Area Networks
title_fullStr Success Probability Characterization of Long-Range in Low-Power Wide Area Networks
title_full_unstemmed Success Probability Characterization of Long-Range in Low-Power Wide Area Networks
title_short Success Probability Characterization of Long-Range in Low-Power Wide Area Networks
title_sort success probability characterization of long-range in low-power wide area networks
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730519/
https://www.ncbi.nlm.nih.gov/pubmed/33266192
http://dx.doi.org/10.3390/s20236861
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