Prediction of Joint Rain Attenuation Statistics Induced on Earth–Satellite Multiple Site Diversity Systems Using Gaussian Copula

Kelmendi, Arsim; Kourogiorgas, Charilaos I.; Hrovat, Andrej; Panagopoulos, Athanasios D.; Kandus, Gorazd; Vilhar, Andrej

doi:10.1109/lawp.2016.2557960

Cited by 10 publications

(8 citation statements)

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“…Kourogiorgas et al [23] used an inverse Gaussian (IG) distribution, while Das and Jameson [24] used raindrop size and thus the Bayesian inverse technique to generate the spatial rain field for consequent rain attenuation. Kelmendi et al [25] used a Gaussian copula to model the joint exceedance probability for dual-site diversity. The results from these physical input techniques are in terms of a graph similar to Figure 1 and thus are used to calculate the value of SDG using (1).…”

Section: Sdg Investigations and Prediction Modelsmentioning

confidence: 99%

A Comprehensive Review of the Site Diversity Technique in Tropical Region: Evaluation of Prediction Models Using Site Diversity Gain of Greece and India

et al. 2021

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my).⁞ABSTRACT The satellite signal deteriorates as it propagates from the source to the ground antenna on the surface of the earth. While some losses involving the amplitude and energy of the signal are unavoidably recovered due to the long slant path through the atmosphere, the impairment due to precipitation, especially rain, can be mitigated. Site diversity is one of the ways to obtain a less rain-attenuated signal, simply by preparing the other site to receive a link similar to that of the main site. Dual site diversity is common in practice with a site separation distance of at least a rain cell extent. This article presents an overview of the site diversity concept and a description of all parameters involved regarding the factor that contributed to the gain, which has been used as a performance metric to measure the effectiveness of a site diversity scheme. A detailed assessment of the capability of the gain prediction model is presented using site diversity experimental data conducted in two different climatic groups, namely, Greece in a temperate region and India in a tropical climatic region. The models involved in the evaluation were the ITU-R, Hodge, and Panagopoulos models, which were validated using temperate regional data, and the Semire and Yeo models, which were validated using tropical regional data. The observations of model behavior revealed that the Semire and Yeo models of the tropics were consistent with the measured gain obtained from India and Greece, respectively; thus, this demonstrated that the direction of future prediction models should consider both climates in the validation process.⁞INDEX TERMS Signal degradation, model evaluation, tropical region, rain-induced attenuation, atmospheric effect.

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Section: Sdg Investigations and Prediction Modelsmentioning

confidence: 99%

A Comprehensive Review of the Site Diversity Technique in Tropical Region: Evaluation of Prediction Models Using Site Diversity Gain of Greece and India

et al. 2021

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“…Although the deployment of actual satellite stations to perform measurements has always been preferred over any simulation methods, it is highly unlikely that one would attempt it without having a reliable set of simulated results to perform a first assessment; this is where the benefit of merely using rain gauges, easier to procure and install than satellite stations becomes apparent. Rain attenuation time series can then be generated using the Synthetic Storm Technique (SST) with a two-layer model having as input the rain rate time series obtained via the rain gauges [34]. The SST is a physical-mathematical propagation modeling tool based on the Taylor hypothesis in order to translate the rain rate time series into the spatial domain and then calculate the rain attenuation time series on the slant path.…”

Section: Emulated Joint Rain Attenuation Statisticsmentioning

confidence: 99%

“…Nevertheless, in the latter methodology data resolution is small rendering it inappropriate for use in micro-scale systems. In [34], a new approach for modeling joint statistics of rain attenuation in site-diversity systems based on Gaussian copula functions [35] has been presented, while in [36], the same copula functions are used to model the joint temporal statistics of rain attenuation through the generation of rain attenuation time series for single links. The advantages of using copula functions are: (a) there is no need to model the single-link rain attenuation statistics with a particular distribution and (b) rain attenuation between multiple links is not assumed to be linearly correlated in order to model their spatial dependence.…”

Section: Introductionmentioning

confidence: 99%

Performance of Micro-Scale Transmission & Reception Diversity Schemes in High Throughput Satellite Communication Networks

2021

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The use of Ka and Q/V bands could be a promising solution in order to accommodate higher data rate, interactive services; however, at these frequency bands signal attenuation due to the various atmospheric phenomena and more particularly due to rain could constitute a serious limiting factor in system performance and availability. To alleviate this possible barrier, short- and large-scale diversity schemes have been proposed and examined in the past; in this paper a micro-scale site diversity system is evaluated in terms of capacity gain using rain attenuation time series generated using the Synthetic Storm Technique (SST). Input to the SST was 4 years of experimental rainfall data from two stations with a separation distance of 386 m at the National Technical University of Athens (NTUA) campus in Athens, Greece. Additionally, a novel multi-dimensional synthesizer based on Gaussian Copulas parameterized for the case of multiple-site micro-scale diversity systems is presented and evaluated. In all examined scenarios a significant capacity gain can be observed, thus proving that micro-scale site diversity systems could be a viable choice for enterprise users to increase the achievable data rates and improve the availability of their links.

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“…Besides basic physics, a wealth of such data provides an opportunity to statistically characterize radio channels for communication purposes. Based on such data, researchers have proposed models of rain attenuation, scintillation, and site diversity predictions . These models enable development of efficient PIMTs to mitigate disruptions in respective radio channels.…”

Section: Introductionmentioning

confidence: 99%

“…Based on such data, researchers have proposed models of rain attenuation, 5,6 scintillation, 7,8 and site diversity predictions. 9,10 These models enable development of efficient PIMTs to mitigate disruptions in respective radio channels.…”

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confidence: 99%

A discrete‐components millimeter‐wave satellite beacon receiver for Q‐band propagation experiment

Mrak

Hrovat

Vidmar

et al. 2018

Satell Commun Network

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Summary Ever increasing bandwidth requirements in satellite communications continuously push the frequency limits. Q‐ band (33 – 50 GHz) is the next frequency band to be populated; however, at these frequencies, the Earth's troposphere (weather) profoundly alters the radio propagation conditions. Therefore, in order to properly plan radio links, accurate statistical models of radio channels are necessary. These statistical models are built upon empirical data, ie, measurements, which are furthermore used to design appropriate Propagation Impairment Mitigation Techniques. The Q‐ band lacks such data, hence the statistical models are inadequate. To address this problem, we propose a cost‐effective, easy to replicate Q‐ band beacon receiver to leverage the Alphasat propagation campaign. We present a step‐by‐step implementation process of the receiver's fundamental part, a Low‐Noise Block, which translates input 39.402 GHz signal into 162 MHz output signal with a conversion gain of 52 dB. The receiver furthermore utilizes software define radio for signal processing and other data manipulation. Here, we describe the receiver implementations in great details, supplementing the crucial parts with laboratory validation results. Finally, we show 2 example datasets, showing usual data obtained during heavy showers and on a quiet day, respectively.

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Prediction of Joint Rain Attenuation Statistics Induced on Earth–Satellite Multiple Site Diversity Systems Using Gaussian Copula

Cited by 10 publications

References 5 publications

A Comprehensive Review of the Site Diversity Technique in Tropical Region: Evaluation of Prediction Models Using Site Diversity Gain of Greece and India

A Comprehensive Review of the Site Diversity Technique in Tropical Region: Evaluation of Prediction Models Using Site Diversity Gain of Greece and India

Performance of Micro-Scale Transmission & Reception Diversity Schemes in High Throughput Satellite Communication Networks

A discrete‐components millimeter‐wave satellite beacon receiver for Q‐band propagation experiment

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