{"title":"Power Line Communication Channel Modelling and System Design","authors":"Oula Ibrahim Arbab, M. Mirghani","doi":"10.1109/ICCCEEE49695.2021.9429567","DOIUrl":null,"url":null,"abstract":"This research paper highlights an appropriate and comprehensive procedure to model a Power Line Communication (PLC) channel. Firstly, the paper has adopted the Zimmerman and Doster channel model. Secondly, the channel model has been built considering both impulsive noise and Additive White Gaussian Noise (AWGN). The function adopted to generate transmitted data is based on Bernoulli distribution model. In order to inspect the channel model, a complete communication system is designed and simulated. Using the designed system, the Bit Error Rate (BER) due to some values of signal-to-noise ratio (SNR) is calculated, for each of the simulated channels. Finally, the results that obtained are presented, compared, and discussed.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCEEE49695.2021.9429567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This research paper highlights an appropriate and comprehensive procedure to model a Power Line Communication (PLC) channel. Firstly, the paper has adopted the Zimmerman and Doster channel model. Secondly, the channel model has been built considering both impulsive noise and Additive White Gaussian Noise (AWGN). The function adopted to generate transmitted data is based on Bernoulli distribution model. In order to inspect the channel model, a complete communication system is designed and simulated. Using the designed system, the Bit Error Rate (BER) due to some values of signal-to-noise ratio (SNR) is calculated, for each of the simulated channels. Finally, the results that obtained are presented, compared, and discussed.