Evaluation of Some Path Reduction Factor Models Performance in Tropical Location
Joseph Mom1, Soo Tyokighir2, Gabriel Igwue3
1J.M. Mom, Department of Electrical and Electronics Engineering, Joseph Sarwuan Tarka University, Makurdi, Nigeria.
2S.S. Tyokighir*, Department of Electrical and Electronics Engineering, Joseph Sarwuan Tarka University, Makurdi, Nigeria.
3G.A. Igwue, Department of Electrical and Electronics Engineering, Joseph Sarwuan Tarka University, Makurdi, Nigeria.
Manuscript received on September 06, 2021. | Revised Manuscript received on September 14, 2021. | Manuscript published on September 30, 2021. | PP: 111-116 | Volume-10 Issue-3, September 2021. | Retrieval Number: 100.1/ijrte.C64410910321 | DOI: 10.35940/ijrte.C6441.0910321
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: 5G, Distance factor, Precipitation loss, Performance evaluation.