![]() Millimeter waves (mm‐waves) within frequency bands of 10 to 86 GHz will be used for both microwave and access link fifth‐generation (5G) systems. Thus, it can be concluded that the statistics for the worst month in Malaysia is lower than what was predicted by the ITU model. The average percentage of error calculated between the measurements and predicted results for the rain rate and rain attenuation were 143% and 159%, respectively. In addition, the statistics acquired from the measurements for the worst month were lower than what was predicted by the International Telecommunication Union (ITU) model around 51% and 34% for the rain rate and rain attenuation, respectively. From the analyzed results, it was found that at 0.01% percentage of time, the rain rate was 120 mm/hr while the specific rain attenuation was 26.2dB/km and the total rain attenuation over 1.3 km was 34 dB. Next, the MATLAB software was used to process and analyze the annual rain rate and rain attenuation, including for the worst month. The measurements were attained and logged daily for a continuous year, with one-minute time intervals. The implemented system consisted of Ericsson CN500 mini E-link, radio unit, rain gauge, and data logger. The measurements were accomplished using a microwave fifth generation (5G) radio link system with 1.3 km path length implemented at Universiti Teknologi Malaysia (UTM) Johor Bahru, Malaysia. In this paper, real measurements were conducted to investigate the impact of rain on the propagation of millimeter waves (mm-waves) at 26 GHz. Spectral efciency is improved by utilizing a larger constellation size of quadratureĪmplitude modulation (QAM) scheme with a higher convolutional coding rate when Quadrature amplitude modulation (QAM) scheme with a lower convolutional cod�ing rate is better in maintaining link availability in bad weather conditions. MATLAB simulation result showed that lower-order Scheme is with the non-adaptive technique, and fuzzy-based adaptive modulation andĬoding technique is carried out. Furthermore, a comparison of the performance of this proposed Thenīased on this result, the neuro-fuzzy inference system is employed to enhance the In this research work, locallyĬollected one-minute rain rate data is used to determine the rain attenuation. Modulation (ACM) for rainfall fade mitigation in Ethiopia. This paper presents an enhanced adaptive code Unfortunately, a rain fade mitigation technique based on local rain data has not beenĪdequately studied in tropical regions. ![]() Non-tropical areas, this prediction model is not suitable for the measured rain data. ![]() ![]() Size is bigger and the rainfall rate is high in magnitude in tropical regions than that of The attenuation prediction method provided by the International Tel�ecommunication Union-Recommendation (ITU-R), through Recommendation P.530-16Īnd P.618-13 utilize data collected from temperate regions. Tropical equatorial regions and in a frequency spectrum higher than 10-GHz for tem�perate climates. Rain attenuation is considerably noticed in a frequency spectrum above 7-GHz for ![]()
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