Regime analysis of rainfall drop-size distribution models for microwave terrestrial networks

Alonge, Akintunde; Afullo, Thomas J.

doi:10.1049/iet-map.2011.0411

Cited by 11 publications

(5 citation statements)

References 23 publications

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“…A regime demarcation based on maximum rainfall rates observed per rain event was considered in this study. This is based on the four rainfall regime classification already undertaken in a number of studies on Durban [19, 20], and also other areas [21, 22]. The bounds considered for each designated rainfall regime can be found in [19].…”

Section: Measurement and Data Processingmentioning

confidence: 99%

Fractal analysis of rainfall event duration for microwave and millimetre networks: rain queueing theory approach

Alonge

Afullo

2015

IET Microwaves, Antennas & Propagation

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Rain fade in radio networks is generated from random fluctuations of rainfall rates, within rain events of spatiotemporal dimensions. These events can be represented as a catenation of single rain spikes occurring as a possible three-stage processbirth, overlap and death. Using the queueing theory approach, the birth-death characteristics of single spikes are investigated as inter-arrival and service time distributions. A total of 548 spike samples from rainfall events in Durban (29°52'S, 30°58'E), South Africa are examined based on distrometer measurements. Rainfall regime analysis of drizzle, widespread, shower and thunderstorm bounds is applied to determine the queue pattern. It is found that the queue patterns in Durban exhibit an Erlang-k distribution (E k ) for both the service and overlap times, while exponential distribution (M) is suitable for inter-arrival time. The mean error statistics for the regimes give root-mean-square errors of 0.64, 1.3 and 2.02% for the service, inter-arrival and overlap distribution, respectively, with acceptable Chi-Squared (χ 2 ) statistics. The M/E k /s/∞ steadystate analysis is later undertaken to investigate the performance of the proposed queue system. Based on the overall data, a power-law relationship is found to exist between the service time and peak rain rate per spike.

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Section: Measurement and Data Processingmentioning

confidence: 99%

Fractal analysis of rainfall event duration for microwave and millimetre networks: rain queueing theory approach

Alonge

Afullo

2015

IET Microwaves, Antennas & Propagation

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“…To determine PDF, it is usual that rainfall rate time series measurements (at 1 min integration time) are collected at a location, over a specified period of time. The collected data are processed according to rain regime bounds in Alonge and Afullo [, ] to generate its cumulative distribution. In accordance to this procedure, rainfall time series data collected in Durban and Butare, over a specified period, are processed to generate their respective distributions.…”

Section: Rain Spike Queue Scheduling: Results and Model Verificationmentioning

confidence: 99%

Rainfall time series synthesis from queue scheduling of rain event fractals over radio links

Alonge

Afullo

2015

Radio Sci.

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Rainfall attenuation over wireless networks stems from random fluctuations in the natural process of arriving rainfall rates over radio links. This arrival process results in discernible rainfall traffic pattern which manifests as naturally scheduled and queue-generated rain spikes. Hence, the phenomenon of rainfall process can be approached as a semi-Markovian queueing process, with event characteristics dependent on queue parameters. However, a constraint to this approach is the knowledge of the physical characteristics of queue-generated rain spikes. Therefore, this paper explores the probability theory and descriptive mathematics of rain spikes in rainfall processes. This investigation presents the synthesis of rainfall queue with rain spikes at subtropical and equatorial locations of Durban (29°52′S, 30°58′E) and Butare (2°36′S, 29°44′E), respectively. The resulting comparative analysis of rainfall distributions, using error analysis at both locations, reveals that queue-generated rainfall compares well with measured rainfall data set. This suggests that the time-varying process of rainfall, though stochastic, can be synthesized via queue scheduling with the application of relevant queue parameters at any location.

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“…Moreover, the magnitude of the attenuation experienced depends largely on the intensity of the rain. Based on its intensity (R), a rain event may be classified into one of four types, namely, drizzle (D), widespread (W), shower (S), and thunderstorm (T) with each type producing unique levels of attenuation [26,27]. e intensities of the different classes of rain are presented in Table 1.…”

Section: Traffic Classesmentioning

confidence: 99%

Performance of Resource Management Techniques for Weather-Impacted Satellite Networks

Imole

Walingo

2019

Journal of Computer Networks and Communications

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Signals transmitted via satellite networks at high frequency in the Ka, Q, and V bands are susceptible to degradation due to rain attenuation. Adaptive transmission techniques are usually employed to mitigate the effect of rain and improve users' quality of service (QoS) but the effectiveness of these techniques hinges on the accuracy with which rain attenuation on the link is known. Commonly, most techniques rely on predicted attenuation along the link for selection of optimal transmission parameters. is paper proposes an efficient approach to predict the rain attenuation experienced by sources of multimedia connections in rainimpacted satellite networks. e proposed technique is based on three Markov models for widespread, shower, and thunderstorm rain events and predicts the attenuation experienced at different periods within the duration of a user's connection. It relies on an adaptive modulation and coding (AMC) scheme to dynamically mitigate rain attenuation and a call admission control (CAC) policy to guarantee the satisfaction of users' QoS requirements.

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Regime analysis of rainfall drop-size distribution models for microwave terrestrial networks

Cited by 11 publications

References 23 publications

Fractal analysis of rainfall event duration for microwave and millimetre networks: rain queueing theory approach

Fractal analysis of rainfall event duration for microwave and millimetre networks: rain queueing theory approach

Rainfall time series synthesis from queue scheduling of rain event fractals over radio links

Performance of Resource Management Techniques for Weather-Impacted Satellite Networks

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