Prediction of time diversity gain – comparison between ITU-R P.618-13 using a concept of rain rate with delay and synthetic storm technique
Future satellite companies will use higher Ka and V bands. Rain fade is the most important issue in establishing reliable communication between Earth and satellites outside the 10 GHz band. The problem is exacerbated in the tropics by significant rainfall throughout the year. One way to deal with...
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International Association of Online Engineering
2022
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Online Access: | http://irep.iium.edu.my/98304/7/98304_Prediction%20of%20time%20diversity%20gain%20%E2%80%93%20comparison.pdf http://irep.iium.edu.my/98304/ https://online-journals.org/index.php/i-jim/article/view/30103 |
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my.iium.irep.983042022-06-13T01:30:25Z http://irep.iium.edu.my/98304/ Prediction of time diversity gain – comparison between ITU-R P.618-13 using a concept of rain rate with delay and synthetic storm technique Alam, Md Moktarul M. R., Hasan Islam, Md. Rafiqul Habaebi, Mohamed Hadi Singh, Mandeep TK5101 Telecommunication. Including telegraphy, radio, radar, television Future satellite companies will use higher Ka and V bands. Rain fade is the most important issue in establishing reliable communication between Earth and satellites outside the 10 GHz band. The problem is exacerbated in the tropics by significant rainfall throughout the year. One way to deal with rainfall attenuation is to use a time-diversity strategy. Real-time rainfall attenuation data is needed to analyze time variability. However, data from higher frequency bands such as Ka and V bands cannot be used. As a result, the Synthetic Storm Technique (SST) was proposed to convert the measured real time rainfall data into rainfall attenuation data and predict the time diversity gain. The measured rainfall data was converted to rainfall attenuation data using the traditional SST method. Time diversity gains were predicted using Converted rainfall attenuation and the Matriciani model, and the measurements were significantly overestimated. A new concept of realtime rainfall with and without time delay is proposed and used to predict time diversity gain using ITU-R P. 618-13 and the measured rainfall distribution with delay. Therefore, the proposed method recommends using the measured long-term precipitation data to predict the gain from time diversity at the desired frequency. International Association of Online Engineering 2022-06-10 Article PeerReviewed application/pdf en http://irep.iium.edu.my/98304/7/98304_Prediction%20of%20time%20diversity%20gain%20%E2%80%93%20comparison.pdf Alam, Md Moktarul and M. R., Hasan and Islam, Md. Rafiqul and Habaebi, Mohamed Hadi and Singh, Mandeep (2022) Prediction of time diversity gain – comparison between ITU-R P.618-13 using a concept of rain rate with delay and synthetic storm technique. International Journal of Interactive Mobile Technologies, 16 (11). pp. 178-192. E-ISSN 1865-7923 https://online-journals.org/index.php/i-jim/article/view/30103 10.3991/ijim.v16i11.30103 |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television Alam, Md Moktarul M. R., Hasan Islam, Md. Rafiqul Habaebi, Mohamed Hadi Singh, Mandeep Prediction of time diversity gain – comparison between ITU-R P.618-13 using a concept of rain rate with delay and synthetic storm technique |
description |
Future satellite companies will use higher Ka and V bands. Rain
fade is the most important issue in establishing reliable communication between
Earth and satellites outside the 10 GHz band. The problem is exacerbated in the
tropics by significant rainfall throughout the year. One way to deal with rainfall
attenuation is to use a time-diversity strategy. Real-time rainfall attenuation data
is needed to analyze time variability. However, data from higher frequency bands
such as Ka and V bands cannot be used. As a result, the Synthetic Storm Technique
(SST) was proposed to convert the measured real time rainfall data into
rainfall attenuation data and predict the time diversity gain. The measured rainfall
data was converted to rainfall attenuation data using the traditional SST method.
Time diversity gains were predicted using Converted rainfall attenuation and
the Matriciani model, and the measurements were significantly overestimated.
A new concept of realtime rainfall with and without time delay is proposed and
used to predict time diversity gain using ITU-R P. 618-13 and the measured rainfall
distribution with delay. Therefore, the proposed method recommends using
the measured long-term precipitation data to predict the gain from time diversity
at the desired frequency. |
format |
Article |
author |
Alam, Md Moktarul M. R., Hasan Islam, Md. Rafiqul Habaebi, Mohamed Hadi Singh, Mandeep |
author_facet |
Alam, Md Moktarul M. R., Hasan Islam, Md. Rafiqul Habaebi, Mohamed Hadi Singh, Mandeep |
author_sort |
Alam, Md Moktarul |
title |
Prediction of time diversity gain – comparison between
ITU-R P.618-13 using a concept of rain rate with delay
and synthetic storm technique |
title_short |
Prediction of time diversity gain – comparison between
ITU-R P.618-13 using a concept of rain rate with delay
and synthetic storm technique |
title_full |
Prediction of time diversity gain – comparison between
ITU-R P.618-13 using a concept of rain rate with delay
and synthetic storm technique |
title_fullStr |
Prediction of time diversity gain – comparison between
ITU-R P.618-13 using a concept of rain rate with delay
and synthetic storm technique |
title_full_unstemmed |
Prediction of time diversity gain – comparison between
ITU-R P.618-13 using a concept of rain rate with delay
and synthetic storm technique |
title_sort |
prediction of time diversity gain – comparison between
itu-r p.618-13 using a concept of rain rate with delay
and synthetic storm technique |
publisher |
International Association of Online Engineering |
publishDate |
2022 |
url |
http://irep.iium.edu.my/98304/7/98304_Prediction%20of%20time%20diversity%20gain%20%E2%80%93%20comparison.pdf http://irep.iium.edu.my/98304/ https://online-journals.org/index.php/i-jim/article/view/30103 |
_version_ |
1735569855255412736 |
score |
13.211869 |