Abstract

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.

Highlights

  • Data requirements from users across the world have tremendously increased over recent years the need for larger bandwidth and increase in speed of connectivity whilst maintaining the appreciable quality of service. 5th Generation (5G) networks are candidate solutions that provide efficient millimeter-wave spectrum utilization and high data speeds

  • The Ghiani model predicted distance factor values which ranged from 0.396 to 0.713 across all stations showing considerable differences when compared to the values obtained from the ITU-R P.530-17 and Budalal model

  • Attenuation caused by rain on a millimeter-wave link faces a tremendous challenge to signal accessibility for 5G networks operating in tropical locations

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Summary

INTRODUCTION

Data requirements from users across the world have tremendously increased over recent years the need for larger bandwidth and increase in speed of connectivity whilst maintaining the appreciable quality of service. 5th Generation (5G) networks are candidate solutions that provide efficient millimeter-wave (mmWave) spectrum utilization and high data speeds. To meet the quality of service demands for mmWave links, the effect of attenuation due to rain cannot be ignored especially for Manuscript received on September 06, 2021. From the study carried out by [13], it is seen that the path reduction factors employed in an effective rain rate model may not work with a path length of less than 700 meters (m). It can be concluded that the path reduction factor value during precipitation events is the essential yardstick to evaluate the performance of mmWave communication links

PATH REDUCTION FACTOR MODELS
The Ghiani model
RESULTS AND DISCUSSION
Variation of r for link lengths less than 300 m
Rainfall rate and attenuation measurement
Variation of attenuation and received signal strength for a 300 m link length
Variation of attenuation and received signal strength for a 1 km link length
CONCLUSION
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