Impact of Rain on Frequency Bands in 4G/5G Networks: Implications for Industrial Connectivity

In recent years, there has been a growing interest in understanding how rain affects frequency bands in 4G/5G networks, especially in outdoor industrial environments. Most studies focus on the use of frequencies above 10 GHz, while few address this issue using frequencies typical of 4G/5G systems. This study investigates the effects of rain on band variation in 4G/5G mobile radio networks. In particular, by hypothesizing a value of eNBID, the number of times a band change occurs with and without rain was calculated. From these data, an increment factor <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\Delta F)$</tex>, normalized over time, was calculated to define the occurrence of band changes with and without rain. Two CNN network trainings were conducted with two different datasets, the first characterized by the absence of band variation information and the second characterized by the presence of such information. In the first case, an accuracy of about 75% was obtained, and in the second case, the obtained result was around 71%. These findings suggest that the addition of band variation information seems to be not relevant in terms of network performance. Finally, a CTGAN network was introduced for the generation of synthetic data for smaller classes, which resulted in an increase in performance of about 10%, reaching an average accuracy of 85%

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/rtsi61910.2024.10761384
Citations
1
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
0.32
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article

Impact of Rain on Frequency Bands in 4G/5G Networks: Implications for Industrial Connectivity

Roberta Avanzato, Francesco Beritelli, Maria Grazia Borzì
1 citations
Telecommunications and Broadcasting Technologies
0.32
article

Impact of Rain on Frequency Bands in 4G/5G Networks: Implications for Industrial Connectivity

Roberta Avanzato, Francesco Beritelli, Maria Grazia Borzì
article en
1 citations

Abstract

In recent years, there has been a growing interest in understanding how rain affects frequency bands in 4G/5G networks, especially in outdoor industrial environments. Most studies focus on the use of frequencies above 10 GHz, while few address this issue using frequencies typical of 4G/5G systems. This study investigates the effects of rain on band variation in 4G/5G mobile radio networks. In particular, by hypothesizing a value of eNBID, the number of times a band change occurs with and without rain was calculated. From these data, an increment factor <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\Delta F)$</tex>, normalized over time, was calculated to define the occurrence of band changes with and without rain. Two CNN network trainings were conducted with two different datasets, the first characterized by the absence of band variation information and the second characterized by the presence of such information. In the first case, an accuracy of about 75% was obtained, and in the second case, the obtained result was around 71%. These findings suggest that the addition of band variation information seems to be not relevant in terms of network performance. Finally, a CTGAN network was introduced for the generation of synthetic data for smaller classes, which resulted in an increase in performance of about 10%, reaching an average accuracy of 85%

University of Catania (IT)
Openalex Percentile: Top 35%
Telecommunications and Broadcasting Technologies
0.32
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