FSO Rain Attenuation Prediction Using Non-linear Least Square Regression

Matondo, Sandra Bazebo; Owolawi, Pius A.

doi:10.1109/imitec45504.2019.9015893

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…Istilah yang disebut "specificiattenuation" digunakaniuntuk merepresentasikan atenuasi perisatuan panjang yang dinyatakan dalam dB/kmidengan persamaan berikut [13]:…”

Section: Redaman Hujanunclassified

Free Space Optic MIMO pada Kondisi Hujan dan Angin di Kota Pekanbaru

Afiansyah,

Susanti,

Purnamirza

et al. 2024

SST

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The FSO communication system is a communication system that uses the atmosphere as a propagation medium for light, which is used as an optical source to transmit data to the receiver. Due to using the atmosphere as a propagation medium causes the FSO communication system to be susceptible to signal weakening caused by varying atmospheric attenuation. So, it is necessary to conduct research on FSO performance based on atmospheric conditions. This research carried out communication design using FSO technology in Pekanbaru City, analyzing the influence of rainy weather and wind data using FSO MIMO. After analyzing and optimizing the parameters contained in the FSO device to achieve the best FSO performance. The design simulation was carried out using optisystem software for Free Space Optics (FSO) analysis using the FSO MIMO technique in rainy and windy weather in Pekanbaru City. One of the impacts of using the atmosphere as a propagation medium is large attenuation. The variables analyzed by the researchers were the rain variable and the wind variable. If the laser uses power up to 10 mW at a frequency wave of 1550 nm. The simulation results of the four-channel FSO MIMO system are able to provide a maximum beam distance of up to 2 km in rainfall conditions and 8 km in windy conditions. This value was obtained through analysis of the BER and Q-Factor values in the simulation results.Keywords - FSO-MIMO, BER, Optisystem

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“…Istilah yang disebut "specificiattenuation" digunakaniuntuk merepresentasikan atenuasi perisatuan panjang yang dinyatakan dalam dB/kmidengan persamaan berikut [13]:…”

Section: Redaman Hujanunclassified

Free Space Optic MIMO pada Kondisi Hujan dan Angin di Kota Pekanbaru

Afiansyah,

Susanti,

Purnamirza

et al. 2024

SST

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“…Another statistical approach that is widely adopted for time-series prediction is the autoregressive integrated moving average (ARIMA). ARIMA combines auto-regressive models that provide data time correlation and the moving average information to provide an approximated time-series prediction [27]. An ARIMA channel model for predicting the rain attenuation recorded for 28 GHz in Surabaya is discussed in [28].…”

Section: A Related Workmentioning

confidence: 99%

Deep Learning Forecasting and Statistical Modeling for Q/V-Band LEO Satellite Channels

Homssi¹,

Chan²,

Wang³

et al. 2022

Preprint

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This paper presents a practical approach for Q/V-band modeling for low Earth orbit satellite channels based on tools from machine learning and statistical modeling. The developed Q/V-band LEO satellite channel model is presented in two folds; (i) a real-time forecasting method using model-based deep learning, intended for real-time operation of satellite terminals, and (ii) a statistical channel simulator that generates the path loss as a time-series random process, intended for system design and research. The provided approach capitalizes on real satellite measurements that are obtained from AlphaSat's Q/V-band transmitter at different geographic latitudes, to model the radio channel. The results show that model-based deep learning forecasting can outperform conventional statistically derived prediction methods for varying rain and elevation angle profiles. Moreover, it can also provide more accuracy in long-term prediction in comparison to current state-of-the-art machine learning approaches for radio channel prediction. Results for the statistical channel simulator is shown to produce synthetic radio excess path loss values for varying satellite passes by capitalizing on empirical statistical models obtained from real measurements.

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“…During the last years, various experimental FSO links were deployed in order to validate the accuracy of many theoretical models, and at the same time, extract empirical models for the attenuation estimation of optical power, in specific cases [18][19][20][21][22][23][24][25][26][27][28][29][30][31]. In this Telecom 2021, 2 94 work, a novel empirical experimental model for the attenuation coefficient was extracted using a multiple linear regression method for the maritime environment during night-time, as a function of the atmospheric temperature, the relative humidity, and the wind speed.…”

Section: Introductionmentioning

confidence: 99%

“…In this Telecom 2021, 2 94 work, a novel empirical experimental model for the attenuation coefficient was extracted using a multiple linear regression method for the maritime environment during night-time, as a function of the atmospheric temperature, the relative humidity, and the wind speed. Various regression techniques are already used in order to extract empirical models in FSO communications [29][30][31]. The presence of sea water below the FSO link creates weak to strong turbulence conditions, due to water vaporization and high attenuation due to high levels of humidity.…”

Section: Introductionmentioning

confidence: 99%

Experimental Model Development for the Attenuation Coefficient Estimation of Terrestrial Optical Wireless Links over the Sea

Stassinakis

Papavgeris

Nistazakis

et al. 2021

Telecom

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Free space optical (FSO) systems have become a reliable solution for modern communications networks, due to the high performance, availability, reliability and security they can provide. However, their characteristics depend strongly on the conditions of the atmosphere, which is the propagation path of the optical beam. In this work, this dependence is experimentally investigated through a terrestrial horizontal FSO link, which was installed a few meters above the sea. Thus, the procedure presented hereis an accurate empirical model for the estimation of the attenuation coefficient for an optical wireless link, as a function of the atmospheric temperature, the relative humidity, and the wind speed. Its accuracy is verified by comparing the estimated outcomes—obtained from the empirical model—versus the measured—experimental—ones. Such accurate empirical models can be used for designing high performance and reliability FSO links, as parts of the upcoming 5G/5G+ networks, for areas where the behavior of the atmospheric conditions and parameters are known.

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FSO Rain Attenuation Prediction Using Non-linear Least Square Regression

Cited by 6 publications

References 9 publications

Free Space Optic MIMO pada Kondisi Hujan dan Angin di Kota Pekanbaru

Free Space Optic MIMO pada Kondisi Hujan dan Angin di Kota Pekanbaru

Deep Learning Forecasting and Statistical Modeling for Q/V-Band LEO Satellite Channels

Experimental Model Development for the Attenuation Coefficient Estimation of Terrestrial Optical Wireless Links over the Sea

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