2020-05-06
Research on Channel Model of Broadband Power Line Communication Based on MTL and Radiation Effect
By
Progress In Electromagnetics Research M, Vol. 92, 67-78, 2020
Abstract
Nowadays, the key to design a reliable communication system is to acquire channel characteristics and improve channel capacity. In the transmission of high-speed data, the unshielded transmission channel used in power line communication has interference factors such as noise, attenuation, reflection, radiation, and time-varying. A three-wire MIMO-PLC channel transfer function priori model has been established based on the theory of MTL in this paper, which is necessary for band pre-selection, power setting, and dynamic range design in a high-speed MIMO-PLC set to improve the unshielded transmission channel capacity with the effect of noise, attenuation, reaction, radiation, and time-varying factors. The simulation results with the model parameters of geometric sizes, material, surrounding medium, and lengths of the power line network agree well with the measurement ones in the frequency band of 1-200 MHz. The research results of this paper have guiding significance for the band pre-selection, power setting, and dynamic range design of broadband MIMO-PLC.
Citation
Xueyu Duan, Yizhen Wei, Donglin He, Zili Xu, Hong Zhang, and Wei Hua, "Research on Channel Model of Broadband Power Line Communication Based on MTL and Radiation Effect," Progress In Electromagnetics Research M, Vol. 92, 67-78, 2020.
doi:10.2528/PIERM20011002
References

1. Nassar, M., J. Lin, Y. Mortazavi, A. Dabak, I. H. Kim, and B. L. Evans, "Local utility power line communications in the 3-500 kHz band: Channel impairments, noise, and standards," IEEE Signal Processing Magazine, Vol. 29, No. 5, 116-127, 2012.        Google Scholar

2. Han, J., C. Choi, W. K. Park, I. Lee, S. H. Kim, and Q. Wu, "PLC-based photovoltaic system management for smart home energy management system," IEEE Transactions on Consumer Electronics, Vol. 60, No. 2, 184-189, 2014.        Google Scholar

3. Artale, G., A. Cataliotti, V. Cosentino, D. D. Cara, and T. Giovanni, "A new low cost power line communication solution for smart grid monitoring and management," IEEE Trans. Instrum, Vol. 21, No. 2, 29-33, 2018.        Google Scholar

4. Hashmat, R., P. Pagani, A. Zeddam, and T. Chonavel, "MIMO communications for inhome PLC networks: Measurements and results up to 100 MHz," IEEE International Symposium on Power Line Communications & Its Applications, 2010, doi: 10.1109/ISPLC.2010.5479897.        Google Scholar

5. Zhang, S., K. Zhao, B. Zhu, Z. Ying, and S. He, "MIMO reference antennas with controllable correlations and total efficiencies," Progress In Electromagnetics Research, Vol. 145, 115-121, 2014.        Google Scholar

6. Yu, X., L. Wang, H.-G. Wang, X. Wu, and Y.-H. Shang, "A novel multiport matching method for maximum capacity of an indoor MIMO system," Progress In Electromagnetics Research, Vol. 130, 67-84, 2012.        Google Scholar

7. Khalil, K., M. G. Gazalet, P. Corlay, F. X. Coudoux, and M. Gharbi, "An MIMO random channel generator for indoor power-line communication," IEEE Transactions on Power Delivery, Vol. 29, No. 4, 1561-1568, 2014.        Google Scholar

8. Shin, J., J. Lee, and J. Jeong, "Channel modeling for indoor broadband power-line communications networks with arbitrary topologies by taking adjacent nodes into account," IEEE Transactions on Power Delivery, Vol. 26, No. 3, 1432-1439, 2011.        Google Scholar

9. Duche, D. N. and V. Gogate, "Power line communication performance channel characteristics," Computer Engineering and Applications, Vol. 3, No. 1, 33-42, 2014.        Google Scholar

10. Leone, M. and A. Mantzke, "A foster-type field-to-transmission line coupling model for broadband simulation," IEEE Transactions on Electromagnetic Compatibility, Vol. 56, No. 6, 1630-1637, 2014.        Google Scholar

11. Versolatto, F. and A. M. Tonello, "An MTL theory approach for the simulation of MIMO power-line communication channels," IEEE Transactions on Power Delivery, Vol. 26, No. 3, 1710-1717, 2011.        Google Scholar

12. Corchado, J. A., J. A. Cortes, F. J. Canete, and L. Diez, "An MTL-based channel model for indoor broadband MIMO power line communications," IEEE Journal on Selected Areas in Communications, Vol. 34, No. 7, 2045-2055, 2016.        Google Scholar

13. Pang, T. S., P. L. So, K. Y. See, and A. Kamarul, "Modeling and analysis of common-mode current propagation in broadband power-line communication networks," IEEE Transactions on Power Delivery, Vol. 23, No. 1, 171-179, 2008.        Google Scholar

14. Righini, D., F. Passerini, and A. M. Tonello, "Modeling transmission and radiation effects when exploiting power line networks for communication," IEEE Transactions on Electromagnetic Compatibility, Vol. 60, No. 1, 59-67, 2017.        Google Scholar

15. Nasar, S. A. and C. R. Paul, Essential Engineering Equations, CRC Press, 1991.

16. Paul, C. R., "On uniform multimode transmission lines," IEEE Transactions on Microwave Theory and Techniques, Vol. 21, No. 8, 556-558, 1973.        Google Scholar

17. Paul, C. R., Modeling of Broadband Power Line Communication Channel Based on Transmission Line Theory and Radiation Loss, Wiley, 2008.

18. He, D.-L., Y.-Z. Wei, S. Cui, W. Hua, X.-Y Duan, and L. Liu, "Modeling of broadband power line communication channel basedon transmission," IEICE Electronics Express, Vol. 16, No. 16, 1-5, 2019.        Google Scholar

19. Hasirci, Z. and I. H. Cavdar, "S-parameters-based causal RLGC(f) model of busbar distribution systems for broadband power line communication," International Journal of Electrical Power & Energy Systems, Vol. 95, 561-567, 2018.        Google Scholar