Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing
This paper investigated the performances of some rain attenuation prediction models at some GSM network locations in Lagos, Nigeria, using remote sensing at Ku band. Remote sensing is a collection and interpretation of information about an object without physical contact with the object being measur...
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Faculty of Engineering, Federal University Oye-Ekiti, Nigeria
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ftjafricanj:oai:ojs.ajol.info:article/214348 2023-05-15T18:42:49+02:00 Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing Darley, Olufunke Yussuff, Abayomi I.O. Adenowo, Adetokunbo A. 2021-09-13 application/pdf https://www.ajol.info/index.php/fuoyejet/article/view/214348 eng eng Faculty of Engineering, Federal University Oye-Ekiti, Nigeria https://www.ajol.info/index.php/fuoyejet/article/view/214348/202161 https://www.ajol.info/index.php/fuoyejet/article/view/214348 FUOYE Journal of Engineering and Technology; Vol. 6 No. 2 (2021); 19-24 2579-0617 2579-0625 Path attenuation Prediction models Rainfall rate Terrestrial microwave links Tropical region info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article 2021 ftjafricanj 2021-09-19T02:26:48Z This paper investigated the performances of some rain attenuation prediction models at some GSM network locations in Lagos, Nigeria, using remote sensing at Ku band. Remote sensing is a collection and interpretation of information about an object without physical contact with the object being measured. Three popular terrestrial prediction models were considered in this work. These are ITU-R P.530-17, Lin and Silva Mello Models. Ten years (2010-2019) annual rainfall data with hourly integration time were sourced from the Nigerian Meteorological Agency (NIMET) and link budgets for three microwave links (Tarzan Yard, Kofo Abayomi and GLO Shop) in Victoria Island at 18 GHz were obtained from Global Communications Limited (GLO), Nigeria. Data analysis and comparison of the microwave links rainfall estimates were carried out to identify the most suitable of the three models at the selected locations of interest. Measurement data obtained from both NIMET and GLO were used to validate the predicted attenuation data from the three selected models. The ITU-R P.530-17 prediction model overestimated the measurement at Tarzan Yard; closely followed by Silva Mello, while Lin underestimated the measured data. Again, at Kofo Abayomi station, the ITU-R model overestimated the measurement, while both Silva Mello and Lin models underestimated the measurement. At the GLO Shop, the Silva Mello overestimated the measured value, while ITU-R and Lin underestimated the measurement. At 0.01% of time exceeded, NIMET measurement was higher (at 48.2 dB) than that of Tarzan Yard, Kofo Abayomi and GLO shop (43.1, 46.3 and 37.0 dB respectively). These results will provide useful information in mitigating signal outages due to rain for mobile communication systems. Article in Journal/Newspaper Victoria Island AJOL - African Journals Online |
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Open Polar |
collection |
AJOL - African Journals Online |
op_collection_id |
ftjafricanj |
language |
English |
topic |
Path attenuation Prediction models Rainfall rate Terrestrial microwave links Tropical region |
spellingShingle |
Path attenuation Prediction models Rainfall rate Terrestrial microwave links Tropical region Darley, Olufunke Yussuff, Abayomi I.O. Adenowo, Adetokunbo A. Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing |
topic_facet |
Path attenuation Prediction models Rainfall rate Terrestrial microwave links Tropical region |
description |
This paper investigated the performances of some rain attenuation prediction models at some GSM network locations in Lagos, Nigeria, using remote sensing at Ku band. Remote sensing is a collection and interpretation of information about an object without physical contact with the object being measured. Three popular terrestrial prediction models were considered in this work. These are ITU-R P.530-17, Lin and Silva Mello Models. Ten years (2010-2019) annual rainfall data with hourly integration time were sourced from the Nigerian Meteorological Agency (NIMET) and link budgets for three microwave links (Tarzan Yard, Kofo Abayomi and GLO Shop) in Victoria Island at 18 GHz were obtained from Global Communications Limited (GLO), Nigeria. Data analysis and comparison of the microwave links rainfall estimates were carried out to identify the most suitable of the three models at the selected locations of interest. Measurement data obtained from both NIMET and GLO were used to validate the predicted attenuation data from the three selected models. The ITU-R P.530-17 prediction model overestimated the measurement at Tarzan Yard; closely followed by Silva Mello, while Lin underestimated the measured data. Again, at Kofo Abayomi station, the ITU-R model overestimated the measurement, while both Silva Mello and Lin models underestimated the measurement. At the GLO Shop, the Silva Mello overestimated the measured value, while ITU-R and Lin underestimated the measurement. At 0.01% of time exceeded, NIMET measurement was higher (at 48.2 dB) than that of Tarzan Yard, Kofo Abayomi and GLO shop (43.1, 46.3 and 37.0 dB respectively). These results will provide useful information in mitigating signal outages due to rain for mobile communication systems. |
format |
Article in Journal/Newspaper |
author |
Darley, Olufunke Yussuff, Abayomi I.O. Adenowo, Adetokunbo A. |
author_facet |
Darley, Olufunke Yussuff, Abayomi I.O. Adenowo, Adetokunbo A. |
author_sort |
Darley, Olufunke |
title |
Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing |
title_short |
Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing |
title_full |
Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing |
title_fullStr |
Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing |
title_full_unstemmed |
Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing |
title_sort |
investigation into rain attenuation prediction models at locations in lagos using remote sensing |
publisher |
Faculty of Engineering, Federal University Oye-Ekiti, Nigeria |
publishDate |
2021 |
url |
https://www.ajol.info/index.php/fuoyejet/article/view/214348 |
genre |
Victoria Island |
genre_facet |
Victoria Island |
op_source |
FUOYE Journal of Engineering and Technology; Vol. 6 No. 2 (2021); 19-24 2579-0617 2579-0625 |
op_relation |
https://www.ajol.info/index.php/fuoyejet/article/view/214348/202161 https://www.ajol.info/index.php/fuoyejet/article/view/214348 |
_version_ |
1766232592804216832 |