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Hybrid forward error correction coding efficiency for MIMO-PLC with symmetric alpha-stable noise

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Abstract

Power line communication (PLC) medium is a very hostile environment, this is due to the fact that severe impairments adhering this means of communication, which cannot be described as a Gaussian noise. In this paper, we propose a powerful scheme to combat the impulsive noise effect and efficiently increase the transmission bit rate. The proposed technique makes use of a new hybrid coding (HC) process and a multiple input multiple output (MIMO) based orthogonal frequency division multiplexing (OFDM), namely, HC-MIMO-OFDM. The HC is mainly constructed based on the combination of convolutional codes (CC) and quasi cyclic-low density parity check codes (QC-LDPC). The HC-MIMO-OFDM stage is then followed by an orthogonal space time block code to provide more robustness under a heavy impulsive noise environment. Furthermore, the symmetric \(\alpha \)-stable model is applied to characterize the realistic PLC noise and consequently avoid the overestimation of the overall performance in such communication systems. The obtained results showed the increase improvement in performance of the bit-error-rate with the raise of the bit rate, when going from single input single output to MIMO. In addition, it has been illustrated that there was a gain when the MIMO was supplemented with only the CC and an additional gain when the HC is considered (i.e., combination of CC plus QC-LDPC coding).

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References

  1. Himeur, Y., & Boukabou, A. (2017). An efficient impulsive noise cancellation scheme for power-line communication systems using anfis and chaotic interleaver. Digital Signal Processing, 66, 42–55.

    Article  Google Scholar 

  2. Himeur, Y., & Boukabou, A. (2016). OFDM-based power-line communication enhancement using a turbo coded adaptive impulsive noise compensator. Telecommunication Systems, 62(3), 481–494.

    Article  Google Scholar 

  3. Himeur, Y., Boukabou, A., & Senouci, A. (2016). Performance of turbo-coded chaotic interleaving and frequency-domain equalization scheme for high speed OFDM-based PLC systems. Journal of the Franklin Institute, 353(15), 3799–3817.

    Article  Google Scholar 

  4. Schneider, D., Speidel, J., Stadelmeier, L., & Schill, D. (2008). Precoded spatial multiplexing MIMO for inhome power line communications. In IEEE Global telecommunications conference (GLOBECOM) (pp. 1–5).

  5. Schwager, A., Schneider, D., Bschlin, W., Dilly, A., & Speidel, J. (2011). MIMO PLC: Theory, measurements and system setup. In IEEE international symposium on power line communications and its applications (pp. 48–53).

  6. Versolatto, F., & Tonello, A. M. (2011). A MIMO PLC random channel generator and capacity analysis. In IEEE international symposium on power line communications and its applications (pp. 66–71).

  7. Schneider, D., Schwager, A., Bschlin, W., & Pagani, P. (2012). European MIMO PLC field measurements: Channel analysis. In IEEE international symposium on power line communications and its applications (pp. 304–309).

  8. Berger, L. T., Schwager, A., Pagani, P., & Schneider, D. M. (2015). MIMO power line communications. IEEE Communications Surveys Tutorials, 17(1), 106–124.

    Article  Google Scholar 

  9. Canova, A., Benvenuto, N., & Bisaglia, P. (2010). Receivers for MIMO-PLC channels: Throughput comparison. In IEEE international symposium on power line communications and its applications (pp. 114–119)

  10. Veronesi, D., Riva, R., Bisaglia, P., Osnato, F., Afkhamie, K., Nayagam, A., Rende, D., & Yonge, L. (2011). Characterization of in-home MIMO power line channels. In IEEE international symposium on power line communications and its applications (pp. 42–47).

  11. Hashmat, R., Pagani, P., Zeddam, A., & Chonave, T. (2011). A channel model for multiple input multiple output in-home power line networks. In IEEE international symposium on power line communications and its applications (pp. 35–41).

  12. Adebisi, B., Ali, S., & Honary, B. (2009). Space-frequency and space-time-frequency M3FSK for in door multiwire communications. IEEE Transactions on Power Delivery, 24(4), 2361–2367.

    Article  Google Scholar 

  13. Yoo, J., & Choe, S. (2014). Performance of space time frequency coding over indoor power line channels. IEEE Transactions on Communications, 62(9), 3326–3335.

    Article  Google Scholar 

  14. Sung, Y.-S., Lee, J.-H., Kim, Y.-H., & Kim, S.-C. (2014). Optimal subcarrier pairing scheme for maximal ratio combining in OFDM power line communications. AEU-International Journal of Electronics and Communications, 68(9), 893–898.

    Article  Google Scholar 

  15. Li, S. (2015). A novel scalable video broadcasting method over MIMO-OFDM systems. AEU-International Journal of Electronics and Communications, 69(11), 1672–1682.

    Article  Google Scholar 

  16. Cushon, K., Larsson-Edefors, P., & Andrekson, P. (2016). Low-power 400-gbps soft-decision LDPC FEC for optical transport networks. Journal of Lightwave Technology, 34(18), 4304–4311.

    Article  Google Scholar 

  17. Himeur, Y., & Boukabou, A. (2014). Noise mitigation over powerline communication using LDPC-convolutional code and fusion of mean and median filters. In International conference on signal processing and multimedia applications (SIGMAP) (pp. 5–13).

  18. Islam, M. R., & Kim, J. (2010). Quasi cyclic low density parity check code for high SNR data transfer. Radioengineering, 19(2), 356–362.

    Google Scholar 

  19. Fossorier, M. P. C. (2004). Quasicyclic low-density parity-check codes from circulant permutation matrices. IEEE Transactions on Information Theory, 50(8), 1788–1793.

    Article  Google Scholar 

  20. Zhao, L. (2014). Iterative receiver for QC-LDPC coded underwater acoustic communication systems. In 37th international convention on information and communication technology, electronics and microelectronics (MIPRO) (pp. 491–494)

  21. Djordjevic, I. B. (2016). On advanced FEC and coded modulation for ultra-high-speed optical transmission. IEEE Communications Surveys Tutorials, 18(3), 1920–1951.

    Article  Google Scholar 

  22. Polak, L., & Kratochvil, T. (2012). DVB-T and DVB-T2 performance in fixed terrestrial TV channels. In 2012 35th international conference on telecommunications and signal processing (TSP) (pp. 725–729)

  23. Hu, X., Chen, Z., & Yin, F. (2014). Impulsive noise cancellation for MIMO power line communications. Journal of Communications, 9, 241–247.

    Article  Google Scholar 

  24. Jia, J., & Meng, J. (2014). A dual protection scheme for impulsive noise suppression in OFDM systems. AEU-International Journal of Electronics and Communications, 68(1), 51–58.

    Article  Google Scholar 

  25. Himeur, Y., & Boukabou, A. (2016). An adaptive recursive noise compensator for impulsive noise mitigation over OFDM power line communication. AEU-International Journal of Electronics and Communications, 70(1), 105–112.

  26. Laguna-Sanchez, G., & Lopez-Guerrero, M. (2015). On the use of alpha-stable distributions in noise modeling for PLC. IEEE Transactions on Power Delivery, 30(4), 1863–1870.

  27. Middleton, D. (1977). Statistical-physical models of electromagnetic interference. IEEE Transactions on Electromagnetic Compatibility EMC, 19(3), 106–127.

    Article  Google Scholar 

  28. Rahman, M. M., & Majumder, S. P. (2015). Analytical evaluation of BER performance of a power line communication system using symmetrical alpha stable impulsive noise model. In 2015 18th international conference on computer and information technology (ICCIT) (pp. 260–265).

  29. Laguna-Sanchez, G., & Lopez-Guerrero, M. (2014). An experimental study of the effect of human activity on the alpha-stable characteristics of the power-line noise. In 18th IEEE international symposium on power line communications and its applications (pp. 6–11).

  30. Benaissa, A., Abdelmalek, A., & Feham, M. (2017). Improved reliability of power line communication under alpha-stable noise. In 2017 5th international conference on electrical engineering-Boumerdes (ICEE-B) (pp. 1–5).

  31. Stadelmeier, L., Schill, D., Schwager, A., Schneider, D., & Speidel, J. (2008). MIMO for inhome power line communications. In 7th international ITG conference on source and channel coding (pp. 1–6).

  32. Zimmermann, M., & Dostert, K. (2002). A multipath model for the powerline channel. IEEE Transactions on Communications, 50(4), 553–559.

    Article  Google Scholar 

  33. Seventh Framework Programme: Theme 3 ICT-213311 OMEGA, Deliverable D3.2, v.1.2, PLC Channel Characterization and Modelling, February 2011. http://www.ictomega.eu/publications/deliverables.html. Accessed Jan 2019.

  34. Nikias, C. L., & Shao, M. (1995). Signal processing with alpha-stable distributions and applications. New York: Wiley-Interscience.

    Google Scholar 

  35. Yang, F., & Zhang, X. (2016). Performance modeling for smart grid networks over impulsive Bandpass Awsalphasn channels. In IEEE global communications conference (GLOBECOM) (pp. 1–6).

  36. Johnson, S. (2010). Iterative error correction: Turbo, low density parity-check and repeat accumulate codes. New South Wales: Cambridge University Press.

    Google Scholar 

  37. Tarokh, V., Jafarkhani, H., & Calderbank, A. R. (1999). Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory, 45(5), 1456–1467.

    Article  Google Scholar 

  38. Institute of Electrical and Electronics Engineers (IEEE) Standards Association, P1901 working group, IEEE standard for broadband over power line networks: Medium access control and physical layer specification, December 2010. http://standards.ieee.org/findstds/standard/1901-2010.html. Accessed Jan 2019.

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Authors and Affiliations

  1. STIC Laboratory, Abou-Bekr Belkaid University of Tlemcen, Tlemcen, Algeria

    Amel Benaissa, Abdelhafid Abdelmalek & Mohammed Feham

  2. TELECOM Division, Centre de Développement des Technologies Avancées (CDTA), 16303, Baba Hassen, Algiers, Algeria

    Yassine Himeur

  3. Electronic Department, University of MSB-Jijel, Ouled Aissa, B.P 98, 18000, Jijel, Algeria

    Abdelkrim Boukabou

Authors
  1. Amel Benaissa
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  2. Abdelhafid Abdelmalek
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  3. Mohammed Feham
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  4. Yassine Himeur
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  5. Abdelkrim Boukabou
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Correspondence to Yassine Himeur.

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Benaissa, A., Abdelmalek, A., Feham, M. et al. Hybrid forward error correction coding efficiency for MIMO-PLC with symmetric alpha-stable noise. Telecommun Syst 75, 319–329 (2020). https://doi.org/10.1007/s11235-020-00685-7

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  • DOI: https://doi.org/10.1007/s11235-020-00685-7

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