Rain attenuation predictions on terrestrial radio links: differential equations approach

Abdulrahman, A. Y.; Rahman, Tharek Abd; Rahim, S. K. A.; Islam, Md. Rafiqul; Abdulrahman, M. K. A.

doi:10.1002/ett.1531

Cited by 22 publications

(23 citation statements)

References 12 publications

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Section: Theoretical Background Of Rain Attenuation Prediction Momentioning

confidence: 99%

“…Generally, the required inputs in most attenuation prediction models for terrestrial point-to-point microwave links are the rainfall rate exceeded at p % of time, the effective propagation path length and the link's operating frequency [7], [16]. Thus p…”

Section: Theoretical Background Of Rain Attenuation Prediction Momentioning

confidence: 99%

“…The rainfall rates were measured with one -minute integration time and the average values of the 4-year measurement were correlated with the 1-year measured attenuation data for these two locations [16].…”

Section: B Experimental Proceduresmentioning

confidence: 99%

“…Note that the degree of spatial inhomogeneity in rain rate generally varies with rainfall intensity. Therefore the variation of path length reduction factor can be expressed as a function of rain rate or the corresponding time exceedance [16].Attenuation p A exceeded at p % of time can either be obtained from direct measurements, or predicted from the knowledge of long-term rainfall rate. Generally, the required inputs in most attenuation prediction models for terrestrial point-to-point microwave links are the rainfall rate exceeded at p % of time, the effective propagation path length and the link's operating frequency [7], [16].…”

mentioning

confidence: 99%

“…Therefore the variation of path length reduction factor can be expressed as a function of rain rate or the corresponding time exceedance [16].…”

mentioning

confidence: 99%

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Statistical Evaluation of Measured Rain Attenuation in Tropical Climate and Comparison with Prediction Models

Yusuf

Falade

Olufeagba

et al. 2016

J. Microw. Optoelectron. Electromagn. Appl.

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Abstract-Substantial modifications have been made to the expressions for calculating distance factor and extrapolation techniques in the latest ITU-R P.530-14. However, its performance has not been rigorously evaluated in the tropical and equatorial climates. In this article, the new ITU-R method and three prediction models are validated using measurement data from tropical Malaysian climate. The data were collected on six geographically spread terrestrial microwave DIGI MINI-LINKs operating at 15 GHz. When tested against measurements, the Da Silva Mello model yields a significant improvement for the prediction of rain attenuation distributions. The prediction errors observed in the ITU-R model suggest the need for more data campaign in the afore-mentioned climates. I. INTRODUCTIONTraditionally frequencies above 10 GHz are commonly employed in the current microwave point-topoint networks, due to large bandwidth and freedom from traffic congestion. However, in these frequency bands, the performance of the fixed service (FS) is predominantly controlled by rain in 2012; however, its performance has not been largely evaluated using data collected from tropical climates. Therefore, the main aim of this article is to evaluate the performance of the newly released ITU-R model and the three afore-mentioned models, using measurement data from six locations in a tropical climate. The data used are the rain rate and rain attenuation data banks available from six geographically spread terrestrial microwave DIGI MINI-LINKs operating at 15 GHz as described in[13]. It should be mentioned here that the ITU-R P.530-14 was not yet in force when our previous works were reported. II. THEORETICAL BACKGROUND OF RAIN ATTENUATION PREDICTION MODELSRain attenuation can be conveniently defined as the product of specific attenuation (dB/km) corresponding to the point rain rate (typically measured at one end of the link) and the effective propagation path length (km) [1]. The path correction factor is defined as the ratio of effective path length to the physical path length of a microwave link, and its value is usually less than unity, except in rear cases [14].The concept of effective path length is thus a way of 'averaging out' the spatial inhomegeneity of rain rate and thus specific attenuation [15]. Note that the degree of spatial inhomogeneity in rain rate generally varies with rainfall intensity. Therefore the variation of path length reduction factor can be expressed as a function of rain rate or the corresponding time exceedance [16].Attenuation p A exceeded at p % of time can either be obtained from direct measurements, or predicted from the knowledge of long-term rainfall rate. Generally, the required inputs in most attenuation prediction models for terrestrial point-to-point microwave links are the rainfall rate exceeded at p % of time, the effective propagation path length and the link's operating frequency [7], [16]. Thus p

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Section: Theoretical Background Of Rain Attenuation Prediction Momentioning

confidence: 99%

Section: Theoretical Background Of Rain Attenuation Prediction Momentioning

confidence: 99%

Section: B Experimental Proceduresmentioning

confidence: 99%

mentioning

confidence: 99%

“…Therefore the variation of path length reduction factor can be expressed as a function of rain rate or the corresponding time exceedance [16].…”

mentioning

confidence: 99%

See 3 more Smart Citations

Statistical Evaluation of Measured Rain Attenuation in Tropical Climate and Comparison with Prediction Models

Yusuf

Falade

Olufeagba

et al. 2016

J. Microw. Optoelectron. Electromagn. Appl.

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Rain attenuation of millimetre wave above 10 GHz for terrestrial links in tropical regions

Shayea

Rahman

Azmi

et al. 2018

Trans Emerging Tel Tech

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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 is very important to investigate these bands to ensure reliability when 5G is applied in tropical regions like Malaysia in the coming few years. One of the major obstacles facing the propagation of mm‐waves in tropical regions is the rain attenuation. Rainfall results in the absorption, scattering, and diffraction of radio waves. This contributes to increased transmission losses and a reduction in the received signal levels. The effect is more severe in tropical regions that are characterized by intense heavy rainfall and large raindrop sizes. This paper provides a general overview on rain attenuation of mm‐wave bands. It highlights the nature of rain in tropical regions and its effects on the propagation of mm‐waves. It also reports the latest measurement studies focused on rain attenuation in mm‐wave frequency bands and the prediction methods used to estimate rain attenuation in mm‐waves. It contributes to the understanding of channel behavior and the characterization of mm‐wave bands during rainfall in tropical regions, especially in Malaysia. This study further strives to determine research gaps in this field as well as the future work and various propagation measurement systems that can be used to conduct real measurements and to develop prediction models for rain attenuation in mm‐waves for 5G systems. Furthermore, this paper analyzes the rain rate and rain attenuation on the basis of real measurement data conducted in Universiti Teknologi Malaysia at Skudai Campus, Malaysia. The analyzed results indicated that the rain attenuation at 38 GHz is critical and it can result in 18.4 dB/km as specific rain attenuation at 0.01% percentage of the time.

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Rain attenuation and worst month statistics verification and modeling for 5G radio link system at 26 GHz in Malaysia

Shayea

Nissirat

Nisirat

et al. 2019

Trans Emerging Tel Tech

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The explosive daily dependence on wireless communication services necessitates the research to establish ultrawideband communication systems with ultrahigh bit rate transmission capabilities. The advent of the fifth-generation (5G) microwave link transmitting at millimeter-wave (mm-wave) frequency band is a promising technology to accommodate the escalating demand for wireless services. In this frequency band, however, the behavior of the transmission channel and its climatic properties are a major concern. This is of particular importance in tropical regions where the climate is mainly rainy with large raindrop size and high rainfall rate that may interact destructively with the propagating signal and cause total attenuation for the signal. International Telecommunication Union (ITU) introduced a global rain attenuation model to characterize the effect of rain on the propagating signal at a wideband of frequencies. The validity of this model in tropical regions is still an open question for research. In this paper, real measurements are conducted at Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia, to investigate the impact of rain on the propagation of mm-waves at 26 GHz over the microwave 5G radio link system. Rainfall rate and rain attenuation data sets are collected for one year at one sample per min sampling rate. Both data sets are used to estimate signal propagation conditions in comparison to the ITU model prediction. From the presented results, it is found that at 0.01% percentage of time and rainfall rate of about 120 mm/hr, the propagated signal would experience 26.2 dB losses per kilometer traveled. In addition, there is a significant deviation between the empirical estimation of the worst month parameters and the ITU worst month parameter prediction. Similarly, rainfall rate and rain attenuation estimated through the ITU model imposes a large deviation as compared with the measurements. Furthermore, more accurate empirical worst month parameters are proposed that yielded more accurate estimation of the worst month rainfall and rain attenuation predictions in comparison to the ITU model predictions. Trans Emerging Tel Tech. 2019;30:e3697. wileyonlinelibrary.com/journal/ett

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Rain attenuation predictions on terrestrial radio links: differential equations approach

Cited by 22 publications

References 12 publications

Statistical Evaluation of Measured Rain Attenuation in Tropical Climate and Comparison with Prediction Models

Statistical Evaluation of Measured Rain Attenuation in Tropical Climate and Comparison with Prediction Models

Rain attenuation of millimetre wave above 10 GHz for terrestrial links in tropical regions

Rain attenuation and worst month statistics verification and modeling for 5G radio link system at 26 GHz in Malaysia

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