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LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz
In this work, we present power and quality measurements of four transmissions using different emission technologies in an indoor environment, specifically a corridor, at the frequency of 868 MHz under two non-line-of-sight (NLOS) conditions. A narrowband (NB) continuous wave (CW) signal has been tra...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055865/ https://www.ncbi.nlm.nih.gov/pubmed/36991991 http://dx.doi.org/10.3390/s23063283 |
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author | Robles-Enciso, Ricardo Morales-Aragón, Isabel Pilar Serna-Sabater, Alfredo Martínez-Inglés, María Teresa Mateo-Aroca, Antonio Molina-Garcia-Pardo, Jose-María Juan-Llácer, Leandro |
author_facet | Robles-Enciso, Ricardo Morales-Aragón, Isabel Pilar Serna-Sabater, Alfredo Martínez-Inglés, María Teresa Mateo-Aroca, Antonio Molina-Garcia-Pardo, Jose-María Juan-Llácer, Leandro |
author_sort | Robles-Enciso, Ricardo |
collection | PubMed |
description | In this work, we present power and quality measurements of four transmissions using different emission technologies in an indoor environment, specifically a corridor, at the frequency of 868 MHz under two non-line-of-sight (NLOS) conditions. A narrowband (NB) continuous wave (CW) signal has been transmitted, and its received power has been measured with a spectrum analyzer, LoRa and Zigbee signals have also been transmitted, and their Received Signal Strength Indicator (RSSI) and bit error rate (BER) have been measured using the transceivers themselves; finally, a 20 MHz bandwidth 5G QPSK signal has also been transmitted and their quality parameters, such as SS-RSRP, SS-RSRQ and SS-RINR, have been measured using a SA. Thereafter, two fitting models, the Close-in (CI) model and the Floating-Intercept (FI) model, were used to analyze the path loss. The results show that slopes below 2 for the NLOS-1 zone and above 3 for the NLOS-2 zone have been found. Moreover, the CI and FI model behave very similarly in the NLOS-1 zone, while in the NLOS-2 zone, the CI model has poor accuracy in contrast to the FI model, which achieves the best accuracy in both NLOS situations. From these models, the power predicted with the FI model has been correlated with the measured BER value, and power margins have been established for which LoRa and Zigbee would each reach a BER greater than 5%; likewise, −18 dB has been established for the SS-RSRQ of 5G transmission. |
format | Online Article Text |
id | pubmed-10055865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100558652023-03-30 LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz Robles-Enciso, Ricardo Morales-Aragón, Isabel Pilar Serna-Sabater, Alfredo Martínez-Inglés, María Teresa Mateo-Aroca, Antonio Molina-Garcia-Pardo, Jose-María Juan-Llácer, Leandro Sensors (Basel) Article In this work, we present power and quality measurements of four transmissions using different emission technologies in an indoor environment, specifically a corridor, at the frequency of 868 MHz under two non-line-of-sight (NLOS) conditions. A narrowband (NB) continuous wave (CW) signal has been transmitted, and its received power has been measured with a spectrum analyzer, LoRa and Zigbee signals have also been transmitted, and their Received Signal Strength Indicator (RSSI) and bit error rate (BER) have been measured using the transceivers themselves; finally, a 20 MHz bandwidth 5G QPSK signal has also been transmitted and their quality parameters, such as SS-RSRP, SS-RSRQ and SS-RINR, have been measured using a SA. Thereafter, two fitting models, the Close-in (CI) model and the Floating-Intercept (FI) model, were used to analyze the path loss. The results show that slopes below 2 for the NLOS-1 zone and above 3 for the NLOS-2 zone have been found. Moreover, the CI and FI model behave very similarly in the NLOS-1 zone, while in the NLOS-2 zone, the CI model has poor accuracy in contrast to the FI model, which achieves the best accuracy in both NLOS situations. From these models, the power predicted with the FI model has been correlated with the measured BER value, and power margins have been established for which LoRa and Zigbee would each reach a BER greater than 5%; likewise, −18 dB has been established for the SS-RSRQ of 5G transmission. MDPI 2023-03-20 /pmc/articles/PMC10055865/ /pubmed/36991991 http://dx.doi.org/10.3390/s23063283 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Robles-Enciso, Ricardo Morales-Aragón, Isabel Pilar Serna-Sabater, Alfredo Martínez-Inglés, María Teresa Mateo-Aroca, Antonio Molina-Garcia-Pardo, Jose-María Juan-Llácer, Leandro LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz |
title | LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz |
title_full | LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz |
title_fullStr | LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz |
title_full_unstemmed | LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz |
title_short | LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz |
title_sort | lora, zigbee and 5g propagation and transmission performance in an indoor environment at 868 mhz |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055865/ https://www.ncbi.nlm.nih.gov/pubmed/36991991 http://dx.doi.org/10.3390/s23063283 |
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