Comparison between path length reduction factor models based on rain attenuation measurements in Malaysia

2002 ◽  
Author(s):  
M.R. Islam ◽  
A.R. Tharek ◽  
J. Chebil
Keyword(s):  
Path Length ◽  
Rain Attenuation ◽  
Factor Models ◽  
Reduction Factor ◽  
Length Reduction

scholarly journals Evaluation of Some Path Reduction Factor Models Performance i n Tropical Location

2021 ◽  
Vol 10 (3) ◽  
pp. 111-116
Author(s):  
J.M. Mom ◽  
◽  
S.S. Tyokighir ◽  
G.A. Igwue ◽  
◽  
...  
Keyword(s):  
Path Length ◽  
Signal Strength ◽  
Rain Attenuation ◽  
Factor Models ◽  
Base Station ◽  
Reduction Factor ◽  
Link Length ◽  
Precipitation Loss ◽  
Predicted Values ◽  
Tropical Location

Performance evaluation of the ITU-R. P.530-17, Ghiani and Budalal model are considered for this work. It is found that the predicted values from the ITU-R and Ghiani distance factor models are seen to gradually decrease with an increase in path length for distances below 1km. Results further suggest that for a link length of 300 m, the Ghiani model predicts a 0.2499 dB (1.059 w) to 0.3273 dB (1.078 w) precipitation loss across all four (4) stations. For the ITU-R. P.530-17 model, a 3.4741 dB (2.225 w) to 5.329 dB (3.411 w) precipitation loss is estimated across all stations while the Budalal model estimated a 2.8608 dB (1.932 w) to 4.6250 dB (2.901 w) precipitation loss across all stations. The ITU-R. P.530-17, Ghiani and Budalal model further suggest a precipitation loss in the Received Signal Strength (RSS) of a typical 5G base station operating in the four (4) stations considered to be at least -9.4733 dBm, -8.8601 dBm, and -6.2489 dBm respectively. Generally, all models are found to predict rain attenuation and distance factor values with disparities especially for link lengths above 300 m. Further research is recommended on the models for accurate prediction and improve agreement with measured values.

Improved damping reduction factor models for different response spectra

2021 ◽  
Vol 246 ◽  
pp. 113012
Author(s):  
Tao Liu ◽  
Wenze Wang ◽  
Huakun Wang ◽  
Binjian Su
Keyword(s):  
Response Spectra ◽  
Factor Models ◽  
Reduction Factor ◽  
Damping Reduction Factor ◽  
Different Response

scholarly journals Effects of reduction factor on rain attenuation predictions over millimeter-wave links for 5G applications

2020 ◽  
Vol 9 (5) ◽  
pp. 1907-1915
Author(s):  
M. Rashid ◽  
Jafri Din
Keyword(s):  
Millimeter Wave ◽  
Factor Model ◽  
Rain Attenuation ◽  
Reduction Factor ◽  
5G Networks ◽  
Tropical Regions ◽  
5G Network ◽  
Tropical Areas ◽  
Very High ◽  
Strong Contender

Millimeter-wave will be the strong contender for the terrestrial link using for 5G networks. So it is imperative to examine these frequency bands to ensure the uninterrupted services when 5G network is connected in tropical regions. A critical challenge of link-budgeting in mm-wave 5G networks is the precise estimation of rain attenuation for short-path links. The difficulties are further intensified in the tropical areas where the rainfall rate is very high. Different models are proposed to predict rain attenuation, however recent measurements show huge discrepancies with predictions for shorter links at mm-wave. The path reduction factor is the main parameter in the prediction model for predicting total attenuation from specific rain attenuation. This study investigates four path reduction factor models for the prediction of rain attenuation. A comparison was made between these models based on rain attenuation data measured at 26 GHz at 300 m and 1.3 km links in Malaysia. All models are found to predict rain attenuation at a 1.3 km link with minimum errors, while tremendous discrepancies are observed for 300 m link. Hence it is highly recommended to further investigate the reduction factor model for shorter links less than 1 km

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