Estimation of attenuation due to rain within Ka and Ku bands in Oyo State of Nigeria

Busari, Hammed O; Fakolujo, Olaosebikan A

doi:10.46792/fuoyejet.v6i1.596

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…), but among them, the most severe one is that caused by rain [1]. In radiocommunication, rain attenuation is also one of the limiting factors for frequency bands above 10 GHz [2], because in these frequency bands, the propagation wavelength is comparable to the size of the rain droplet [3]. For the prediction of rain attenuation, the most important parameters are raindrop size distribution (DSD) and the rainfall rate [4,5].…”

Section: Introductionmentioning

confidence: 99%

Raindrop Size Distribution and Rainfall Attenuation Modeling From Disdrometer Measurement in Central Africa: Case of Cameroon

Ntanguen¹,

Takougang²,

Sandjon³

2022

PIER C

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Raindrop sizes were measured in Douala, Cameroon (4 • 03 ′ N, 9 • 42 ′ E) using a Parsivel 2 disdrometer. The data obtained are used for the analysis of the drop size distribution (DSD) and specific rain attenuation modeling in the 5-150 GHz frequency range. The Lognormal and gamma distribution models are employed using the method of moments estimation, considering the third, fourth, and sixthorder moments. The parameter fits for the two DSD models proposed here for different values of rain rates are investigated. The specific rainfall attenuation using the Douala DSD models is compared to the ITU-R models in vertical and horizontal polarization and models for some countries with different climates such as semi-arid, tropical, and subtropical ones in Africa. The comparison with the ITU-R model shows significant differences occurring at high frequency with both high and low rainfall rates. The comparison with other regions of Africa also shows that Douala is characterized by equatorial climate, and Durban characterized by subtropical climate shows similar rainfall attenuation characteristics at operating frequency range 10 ≤ f ≤ 150 GHz, especially at a lower rain rate. At a higher rain rate, specific rain attenuation at Douala is always higher than in other African locations. The proposed models are very important for the determination of rainfall attenuation for terrestrial and satellite systems.

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Section: Introductionmentioning

confidence: 99%

Raindrop Size Distribution and Rainfall Attenuation Modeling From Disdrometer Measurement in Central Africa: Case of Cameroon

Ntanguen¹,

Takougang²,

Sandjon³

2022

PIER C

View full text Add to dashboard Cite

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“…The attenuation of millimeter waves is mainly due to hydrometeors (Snow, Hail, Rain, etc) but among them, the most severe is the one caused by rain [1]. In radio communications, rain attenuation is also one of the main limiting factors above the 10 GHz frequency bands [2] because at these bands since the wavelength of propagation is comparable to the size of the rain droplet [3]. The two most essential parameters considered for the prediction of rain attenuation are The drop size distribution (DSD) and the rainfall rate distribution [4,5].…”

Section: Introductionmentioning

confidence: 99%

Raindrop size distribution and rainfall attenuation modeling in central Africa

Ntanguen

2022

Preprint

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Raindrop sizes were measured in Douala, Cameroon ( 4o03'N, 9o42'E) using a Parsivel disdrometer. The data obtained are used for the analysis of the drop size distribution (DSD) and specific rain attenuation modeling in the 5-150 GHz frequency range. The Lognormal and gamma distribution models are employed using the method of moments estimation, considering the third, fourth, and sixth-order moments. The parameter fits for the two DSD models proposed here for different values of rain rates are investigated. The specific rainfall attenuation using the Douala DSD models is compared to the ITU-R models in vertical and horizontal polarisation and models for some countries with different climates such as semi-arid, tropical, and subtropical in Africa. The comparison with the ITU-R model shows significant differences occurring at high frequency with both high and low rainfall rates. The comparison with other regions of Africa also shows that Douala is characterized by equatorial climate, and Durban characterized by subtropical climate show similar rainfall attenuation characteristics at operating frequency range 10≤ f ≤150 GHz, especially at a lower rain rate. At a higher rain rate, specific rain attenuation at Douala is always higher than in other African locations. The proposed models are very important for the determination of rainfall attenuation for terrestrial and satellite systems.

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“…Tropical regions usually have high intensities of rain with accompanying thunderstorms. (Busari and Fakolujo, 2021). The globally recognized ITU-R model has been found to be more the suitable for temperate regions.…”

Section: Introductionmentioning

confidence: 99%

Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing

2021

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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. Keywords- Path attenuation, Prediction models, Rainfall rate, Terrestrial microwave links, Tropical region

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Estimation of attenuation due to rain within Ka and Ku bands in Oyo State of Nigeria

Cited by 4 publications

References 8 publications

Raindrop Size Distribution and Rainfall Attenuation Modeling From Disdrometer Measurement in Central Africa: Case of Cameroon

Raindrop Size Distribution and Rainfall Attenuation Modeling From Disdrometer Measurement in Central Africa: Case of Cameroon

Raindrop size distribution and rainfall attenuation modeling in central Africa

Investigation into Rain Attenuation Prediction Models at Locations in Lagos Using Remote Sensing

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