Time Series Modelling of Powerline Communication Impulsive Noise: Queuing Theory Approach.
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| Title: | Time Series Modelling of Powerline Communication Impulsive Noise: Queuing Theory Approach. |
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| Authors: | Chelangat, Florence1 florencebiwott7@gmail.com, Afullo, Thomas1 |
| Source: | Progress in Electromagnetics Research C. 2024, Vol. 150, p157-168. 12p. |
| Subjects: | Distribution (Probability theory), Burst noise, Infinite processes, Time series analysis, Communication models, Queuing theory |
| Abstract: | The rate at which powerline communication (PLC) impulsive noise arrives and lasts in the channel determines the severity of signal degradation, with impulsive noise bursts capable of causing complete signal loss. Consequently, the PLC impulsive noise requires an appropriate description to enhance the reliability and effective utilisation of the PLC channel. This paper employs the queuing theory approach to analyse and model the PLC impulsive noise inter-arrival and service time distribution, where the impulsive noise is categorised into single-impulse noise events and burst-impulse noise events. The Erlang-k distribution is proposed for modelling both the inter-arrival and service time distributions for the PLC impulsive noise with the process viewed as an infinite queue with a single server. The impulse noise events are assumed to traverse k stages before entering the PLC network and also pass through k stages before leaving the PLC network, with each of the stages following an exponential distribution. The proposed models are then validated through measurements from different indoor environments and compared to the exponential distribution model, commonly employed in modelling inter-arrival and duration of PLC impulsive noise. The Ek/Ek/1 queue model is determined to adequately model the burst-impulse noise events. In regards to the single-impulse noise events, the exponential distribution is observed to provide a suitable fit for the inter-arrival time distribution. The occurrence of PLC impulsive noise events is also found to achieve a state of equilibrium for all the measurement data under study. [ABSTRACT FROM AUTHOR] |
| Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Time Series Modelling of Powerline Communication Impulsive Noise: Queuing Theory Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chelangat%2C+Florence%22">Chelangat, Florence</searchLink><relatesTo>1</relatesTo><i> florencebiwott7@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Afullo%2C+Thomas%22">Afullo, Thomas</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Progress+in+Electromagnetics+Research+C%22">Progress in Electromagnetics Research C</searchLink>. 2024, Vol. 150, p157-168. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Burst+noise%22">Burst noise</searchLink><br /><searchLink fieldCode="DE" term="%22Infinite+processes%22">Infinite processes</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+models%22">Communication models</searchLink><br /><searchLink fieldCode="DE" term="%22Queuing+theory%22">Queuing theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The rate at which powerline communication (PLC) impulsive noise arrives and lasts in the channel determines the severity of signal degradation, with impulsive noise bursts capable of causing complete signal loss. Consequently, the PLC impulsive noise requires an appropriate description to enhance the reliability and effective utilisation of the PLC channel. This paper employs the queuing theory approach to analyse and model the PLC impulsive noise inter-arrival and service time distribution, where the impulsive noise is categorised into single-impulse noise events and burst-impulse noise events. The Erlang-k distribution is proposed for modelling both the inter-arrival and service time distributions for the PLC impulsive noise with the process viewed as an infinite queue with a single server. The impulse noise events are assumed to traverse k stages before entering the PLC network and also pass through k stages before leaving the PLC network, with each of the stages following an exponential distribution. The proposed models are then validated through measurements from different indoor environments and compared to the exponential distribution model, commonly employed in modelling inter-arrival and duration of PLC impulsive noise. The Ek/Ek/1 queue model is determined to adequately model the burst-impulse noise events. In regards to the single-impulse noise events, the exponential distribution is observed to provide a suitable fit for the inter-arrival time distribution. The occurrence of PLC impulsive noise events is also found to achieve a state of equilibrium for all the measurement data under study. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2528/PIERC24090401 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 157 Subjects: – SubjectFull: Distribution (Probability theory) Type: general – SubjectFull: Burst noise Type: general – SubjectFull: Infinite processes Type: general – SubjectFull: Time series analysis Type: general – SubjectFull: Communication models Type: general – SubjectFull: Queuing theory Type: general Titles: – TitleFull: Time Series Modelling of Powerline Communication Impulsive Noise: Queuing Theory Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chelangat, Florence – PersonEntity: Name: NameFull: Afullo, Thomas IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19378718 Numbering: – Type: volume Value: 150 Titles: – TitleFull: Progress in Electromagnetics Research C Type: main |
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