Data Transmission Rate Improvement Scheme in Power Line Communication System for Smart Grid 


Vol. 35,  No. 12, pp. 1783-1791, Dec.  2010


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  Abstract

In this paper, I propose an adaptive OFDM CP length algorithm for in PLC systems for smart grid. The proposed scheme calculates the channel delay information at the CP controller of the receiver by taking correlation between a received data frame and the following delayed one. The CP controller, immediately, feeds back the channel delay information to the transmitter. Then, the transmitter adapts CP length for next data frame. As an impulsive noise model, Middleton Class A interference model was employed. The performance is evaluated in terms of packet data rate, cumulative packet data rate, and bit error rate (BER). The simulation results showed data gain (which is the amount of the reduced bits) gets larger as the number of packets increase, but the amount of data gain reduced as the number of branches (Nbr) increase. In respects of BER for the cases Nbr is 3, 4, and 5, performance of the adaptive CP length algorithm and the fixed CP scheme are similar. Therefore, it is confirmed the proposed scheme achieved data rate increment without BER performance reduction compared to the conventional fixed CP length scheme.

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  Cite this article

[IEEE Style]

Y. Kim, J. N. Bae, Y. H. Kim, J. Y. Kim, "Data Transmission Rate Improvement Scheme in Power Line Communication System for Smart Grid," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 12, pp. 1783-1791, 2010. DOI: .

[ACM Style]

Yocheol Kim, Jung Nam Bae, Yoon Hyun Kim, and Jin Young Kim. 2010. Data Transmission Rate Improvement Scheme in Power Line Communication System for Smart Grid. The Journal of Korean Institute of Communications and Information Sciences, 35, 12, (2010), 1783-1791. DOI: .

[KICS Style]

Yocheol Kim, Jung Nam Bae, Yoon Hyun Kim, Jin Young Kim, "Data Transmission Rate Improvement Scheme in Power Line Communication System for Smart Grid," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 12, pp. 1783-1791, 12. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880