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Noise Modeling and Analysis for Indoor Broadband Power Line Communication

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11067))

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Abstract

To analyze the noise characteristics on the power line, a practical noise model including Impulsive Noise (IN) and background noise is proposed. The parameters of IN are derived from measurements of household appliances, while the background noise is modeled based on the superimposed noise from multiple noise sources. In addition, an algorithm to calculate the disturb rate of IN is proposed, and the characteristic between actual noise model and the proposed noise model is compared. Simulation results show that the proposed noise model is very akin to actual power line noise. The results can be used to analyze, simulate, and mitigate the effect of the noise on Power Line Communication (PLC) systems.

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Acknowledgment

This work was supported in part by the Central State-Owned Capital Management and Budget Project under Grant 2013-470, in part by the National Nature Science Foundation of China under Grant 61771191 and 61377079, in part by the Fundamental Research Funds for the Central Universities under Grant 1053214004, in part by the Natural Science Foundation of Hunan province under Grant 2017JJ2052, in part by Ministry of Education Cooperative Education Project under Grant 201601004010 and 201701056026, in part by Teaching reform project of Hunan ordinary colleges and Universities under Grant XJT 2016-400, and in part by the Graduate Innovation Project of Hunan province under Grant CX2017B112.

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Correspondence to Hongli Liu .

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Tan, Z., Liu, H., Ma, Z., Cheng, Y. (2018). Noise Modeling and Analysis for Indoor Broadband Power Line Communication. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11067. Springer, Cham. https://doi.org/10.1007/978-3-030-00018-9_45

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  • DOI: https://doi.org/10.1007/978-3-030-00018-9_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00017-2

  • Online ISBN: 978-3-030-00018-9

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