Intelligent Weather Aware Scheme for Satellite Systems

Harb, Kamal; Huang, Changcheng; Srinivasan, Anand; Cheng, B.

doi:10.1109/icc.2008.370

Cited by 12 publications

(32 citation statements)

References 13 publications

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“…The L v is provided fro m ITU-R for the predicted probability of precipitation (pr) based on RR pr .Refer to [5] to obtain the relation between pr and RR pr . In allpredicted situations the value of pr is normally found to be in the range of 0.0001 to 0.5.…”

Section: Calculating CL Oud and Fog Attenuati Onsmentioning

confidence: 99%

“…The values of RA are calcu lated as a functionof frequency (f) and predicted rain fall rate (RR pr ). The foundationalwork of this technique and its variab les are explainedin [5], [14] and [38].…”

Section: Calculating Rain Attenuation (Ra)mentioning

confidence: 99%

“…The cumulat ive distribution of tropospheric scintillat ion isbased on monthly or longer average ambient temperature.Th is distribution reflects the specific climate condition of thesite [5], [39]. In satellite co mmunicat ions, scintillat ion attenuationresults from rapid variations in the signal's amp litude andphase due to changes in the refractive index of the earth's atmosphere.A general technique for predicting this attenuationas a function of RR pr and propagation angle that is greaterthan 4° is given here.…”

Section: Calculating Of Scintillati Onattenuati Onmentioning

confidence: 99%

“…This technique, estimates constituentcontributors of total attenuation separately and extends it togive good approximat ions for a wide range of signal frequencies,propagation angle, and RR pr . The technique uses ITU-Rcoefficients as shown in Figure 5 wh ile estimating the attenuationat grid locations in a weather collection map that was used by ITU-R. Incases where the location of concern does not fall on the grid, ab i-linear interpolat ion technique is then used to get the parameters [5] , [13].…”

Section: Calculation Of Rain Gaseous Cloudfog and Scintillation Amentioning

confidence: 99%

“…In [5] we demonstrated how estimation of RR, aswell as attenuation due to rain, gas, cloud, fog, and scintillat ion,could be measured. The methodology yielded greateraccuracy in estimat ing the weather related attenuation.…”

Section: Introductionmentioning

confidence: 99%

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Performance Evolution in Satellite Communication Networks Along with Markovian Channel Prediction

Harb¹,

Yu²,

Abdul-Jauwad³

2012

JWNC

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Augmenting accurate predict ion of channel attenuations can be of immense value in improving the quality of signals athigh frequency for satellite co mmunication networks. Such prediction of weather related attenuation factors for the impendingweather conditions based on the weather data and the Markovian theory are the main object of this paper. The paper also describes anintelligent weather aware control system (IWACS) that is used to emp loy the predict ions made fro m Markov model to maintainthe quality of service (QoS) in channels that are impacted by rain, gaseous, cloud, fog, and scintillat ion attenuations. Based onthat, a three dimensional relationship is proposed among estimated at mospheric attenuations, propagation angle, and predictedrainfall rate (RR pr ) at a given location and operational frequency. This novel method of pred icting weather characteristicssupplies valuable data for mit igation planning, and subsequently for developing an algorithm to iteratively tune the IWACS byadaptively selecting appropriate channel frequency, modulation, coding, propagation angle, transmission power level, and datatransmission rate to imp rove the satellite's system performance. So me simulat ion results are presented to show the effectiveness of the proposedscheme.

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Section: Calculating CL Oud and Fog Attenuati Onsmentioning

confidence: 99%

Section: Calculating Rain Attenuation (Ra)mentioning

confidence: 99%

Section: Calculating Of Scintillati Onattenuati Onmentioning

confidence: 99%

Section: Calculation Of Rain Gaseous Cloudfog and Scintillation Amentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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