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http://dx.doi.org/10.7236/JIIBC.2019.19.2.41

Interference Cancellation Scheme of End-to-End Method in Power Line Communication System for Smart Grid  

Seo, Sung-Il (Dept. of Electrical Engineering, Honam University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.19, no.2, 2019 , pp. 41-45 More about this Journal
Abstract
In this paper, we propose the interference cancellation scheme of end-to-end method algorithm for power line communication (PLC) systems in smart grid. The proposed scheme estimates the channel noise information of receiver by applying a deep learning model at the receiver. Then, the estimated channel noise is updated in database. In the modulator, the channel noise which reduces the power line communication performance is effectively removed through interference cancellation technique. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of bit error rate (BER). From the simulation results, it is confirmed that the proposed scheme has better BER performance compared to the theoretical model based on additive white Gaussian noise. As a result, the proposed interference cancellation with deep learning improves the signal quality of PLC systems by effectively removing the channel noise. The results of the paper can be applied to PLC for smart grid and general communication systems.
Keywords
Power Line Communication; Smart Grid System; Interference Cancellation; End-to-end; Impulsive Noise; Deep Learning; Channel Estimation;
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Times Cited By KSCI : 1  (Citation Analysis)
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