Markov modelling of rain attenuation for satellite and terrestrial communications

Grémont, Boris; Tawfik, A.N.

doi:10.1049/cp:20030090

Cited by 10 publications

(4 citation statements)

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“…In this section the satellite channel model is presented taking into account variable channel conditions. We have took into account the attenuation due to the rain and starting from the model presented in 23 we have proposed an our model as described in the following.…”

Section: Satellite Channel Model Proposalmentioning

confidence: 99%

Markov-based satellite channel modeling in DVB systems

Palmieri

Campoverde

2023

Sensors and Systems for Space Applications XVI

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It is crucial to investigate how the channel influences communication in a satellite environment, especially under changing environmental circumstances. Only in conditions of channel variability the benefits of the Adaptive Coding and Modulation (ACM) and the related dynamic adaptations of the different Modulation&Codings (MODCODs) in a Digital Video Broadcasting (DVB) standard can be understood. In this study, the model of a satellite channel that incorporates rain attenuation is the main topic of discussion. Our modeling approach is based on a model proposed by International Telecommunication Union (ITU) and was developed using Matlab tool. It is composed of two parts: the first allows for the extraction of the state transition matrix for a given longitude and latitude using a Markov chains approach; the second, using the previously extracted matrices, tries to discover a closed formula for the matrix probabilities as functions of latitude and longitude through the polynomial regression technique.

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Section: Satellite Channel Model Proposalmentioning

confidence: 99%

Markov-based satellite channel modeling in DVB systems

Palmieri

Campoverde

2023

Sensors and Systems for Space Applications XVI

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“…During a rain event, rainfall rates are randomly generated in the time domain; this also accounts for the randomness in rainfall attenuation values. Some studies have classified this random process in the time domain as residues of stepwise Markovian “jumps” from one state to another [ Alasseur et al , ; Gremont and Tawfik , ; Maruddani et al , ]. For this, Markovian components such as state transition matrices and initialization matrices were proposed to reconstruct or synthesize rainfall events.…”

Section: Queueing Theory Characterization Of Rainfall Process Over Ramentioning

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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“…In particular, shorter time scales are required than that currently available from wide area coverage measured rainfall rate databases. Traditional models, such as the stochastic model [2], Markov chain model [3], and numerical weather prediction (NWP) model [4], can no longer meet the ever-increasing demands for high resolution data. There are some limitations inherent in such models, and the two major ones are:…”

Section: Introductionmentioning

confidence: 99%

Rainfall Rate Field Space-Time Interpolation Technique for North West Europe

Yang

Ndzi²,

Paulson

et al. 2019

PIER M

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The ability to predict rain characteristics at small space-time scales is important, particularly in the planning, design, and deployment of wireless networks operating at frequencies above 10 GHz. For wide area networks, high space and time resolution rainfall data are often not available, and the cost of such measurements is prohibitive. This paper thus presents a new approach to address this problem using rain radar measurements to obtain rain estimates at finer resolutions than that available from the original measured data. This paper proposes three innovative methodologies: 1) the approach is not directly applied to measured rainfall rate data but focuses on the parameters of fitted lognormal distribution parameters and/or computed rain characteristics for each location; 2) to facilitate the application in wireless communication networks operating above 10 GHz, a set of databases and contour maps of rain parameters spanning North West Europe have been created. These conveniently and efficiently provide rain parameters for any location within the area under study; and 3) the proposed 3D space-time interpolation approach can extrapolate rain parameters at space-time resolutions that are shorter than those found in NIMROD radar databases. The results show that the approach presented in this paper can be used to provide {1 km, 5 mins} space-time rain rate resolution from {5 km, 15 mins} data for the whole North West Europe with error percentages of less than 4%. This is far superior to estimates provided by the International Telecommunication Union recommended model.

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Markov modelling of rain attenuation for satellite and terrestrial communications

Cited by 10 publications

References 0 publications

Markov-based satellite channel modeling in DVB systems

Markov-based satellite channel modeling in DVB systems

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

Rainfall Rate Field Space-Time Interpolation Technique for North West Europe

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