On Rain Attenuation Time Series Generation: A New Simple Copula-based Channel Model for Satellite Slant Paths

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

doi:10.1109/tap.2016.2557838

Cited by 10 publications

(8 citation statements)

References 13 publications

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“…In the proposed model, the synthesizer is based on the assumption that joint rain attenuation statistics in the temporal and the spatial domain are modeled using Gaussian copulas [34,36]. The advantages of using Gaussian copulas to model the joint statistics in the spatial domain are that they are simple to apply and can easily be extended for multiple spatially separated links.…”

Section: Multi-site Micro-scale Diversity Schemementioning

confidence: 99%

“…The advantages of using Gaussian copulas to model the joint statistics in the spatial domain are that they are simple to apply and can easily be extended for multiple spatially separated links. Moreover, the synthesizer based on copula functions does not require the proof of any assumption regarding the distribution of the rain attenuation induced on a particular single link [36].…”

Section: Multi-site Micro-scale Diversity Schemementioning

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%

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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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Section: Multi-site Micro-scale Diversity Schemementioning

confidence: 99%

Section: Multi-site Micro-scale Diversity Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2021

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“…At the operating frequencies under investigation, ie, Ku‐ Ka‐ bands, rain is the dominant fading mechanism . Most models for rain attenuation time series synthesis and modeling of first order statistics refer to fixed ground stations . However, a characteristic of FANETs is that the user terminals are mobile, and therefore, the aforementioned models are not directly applicable.…”

Section: Uav‐to‐satellite Channel Modelmentioning

confidence: 99%

“…19 Most models for rain attenuation time series synthesis and modeling of first order statistics refer to fixed ground stations. [20][21][22][23][24] However, a characteristic of FANETs is that the user terminals are mobile, and therefore, the aforementioned models are not directly applicable. In Matricciani, 25 the exceedance probability of rain attenuation for a mobile user (P MOB ) is related to this for a fixed user (P FIX ) through…”

Section: Uav-to-satellite Channel Modelmentioning

confidence: 99%

Reliable M2M/IoT data delivery from FANETs via satellite

Bacco

Colucci

Gotta

et al. 2018

Satell Commun Network

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Summary The use of unmanned aerial vehicles (UAVs) is rising in several application fields. This work deals with the communication challenges in UAV swarms, or flying ad hoc network (FANET), when taking into account non–line‐of‐sight scenarios. The use of satellites is a necessity in such operating conditions; thus, this work provides architectural considerations and performance assessments when several (FANETs) share an uplink random access satellite channel, fed with M2M/IoT traffic generated from on‐board sensors, to be reliably delivered to a remote ground destination.

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Electricity‐heat‐gas integrated demand response dependency assessment based on BOXCOX‐Pair Copula model

Tian

Huang

Yan³

et al. 2021

IET Energy Syst Integration

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With the continuous development of Regional Integrated Energy System (RIES), demand response (DR) is composed of diversified loads including electric load, heat load and gas load. Their cross-dependencies reflecting the nonlinear coupling complementary relationship between each load type are one of the key factors to improve multi-energy flow optimisation modelling and utilisation efficiency on the demand side. Accordingly, this paper proposes a DR dependency assessment method considering electricity-heat-gas loads based on the BOXCOX-Pair Copula model. BOXCOX transformation is introduced to convert various probability distribution statistics of electricity-heat-gas loads into Gaussian distributed variables. C-vine Pair Copula is used to characterise an ensemble-of-trees of high-dimensional dependency structure among multi-energy demand modalities. Then the combined model of BOXCOX transformation and C-vine Pair Copula can be employed to determine the complex coupling dependency among electricity-heat-gas loads according to different DR statistics. Some metrics between the original empirical distribution and BOXCOX-Pair Copula distribution are introduced to assess the dependency evaluation precision of the proposed model. Finally, the novel dependency assessment model is numerically tested utilising the electricity load, heat load and gas load data sequences in a real RIES. The results illustrate that the crossdependency of electricity-heat-gas integrated DR based on the BOXCOX-C-vine copula model is closer to that of actual sample data, which verify the effectiveness and superiority of the proposed approach.

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On Rain Attenuation Time Series Generation: A New Simple Copula-based Channel Model for Satellite Slant Paths

Cited by 10 publications

References 13 publications

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

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

Reliable M2M/IoT data delivery from FANETs via satellite

Electricity‐heat‐gas integrated demand response dependency assessment based on BOXCOX‐Pair Copula model

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