MAC Sub-Layer Analysis with Channel Estimation in Broadband Power Line Communication
Mohammad Khaled Andari, Seyed Ali Asghar Beheshti
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DOI: 10.4236/cn.2011.33017   PDF   HTML     5,170 Downloads   9,054 Views   Citations

Abstract

Broadband power line communication (BPLC) gained a lot of interest because of low cost and high performance communication network in access area. In this paper physical (PHY) layer and medium access control (MAC) sub-layer of BPLC are considered. Furthermore, effects of bit error rate (BER) are analyzed in MAC sub-layer. Powerful turbo convolutional code (TCC) and wideband orthogonal frequency division multiplexing (OFDM) are used in PHY layer. Carrier sense multiple access (CSMA) and virtual slot multiple access (VSMA) are taken into consideration in MAC sub-layer. Multilayered perceptrons neural network with backpropagation (BP) learning channel estimator algorithm compare to classic algorithm in for channel estimating. The simulation results show that the proposed neural network estimation decreases bit error rate then in MAC sub-layer throughput increases and access delay is decreased.

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M. Andari and S. Beheshti, "MAC Sub-Layer Analysis with Channel Estimation in Broadband Power Line Communication," Communications and Network, Vol. 3 No. 3, 2011, pp. 141-148. doi: 10.4236/cn.2011.33017.

Conflicts of Interest

The authors declare no conflicts of interest.

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