Measurements and Statistical Modelling for Time Behaviour of Power Line Communication Impulsive Noise
This paper proposes a suitable Markov chain stochastic model for the stationary and impulsive noise present in the indoor low-voltage power line communication (PLC) channel in the broadband frequency range of 1-30 MHz, based on extensive measurements. This statistical noise model has three regimes (states) representing background noise, single impulse noise and burst impulse noise. The Markov chain mainly translates the characteristics of PLC noise processes as a catenation of several successive noise impulses, which are consecutively originated in time, producing regular time sample span. When used to produce PLC noise events, the produced data sample sequence proves to conserve the original distribution of the noise measurements with considerable accuracy. In this way, it is considered for examining the time behaviour of PLC noise as a Markov chain with stochastic matrices. From this set of measured data, analytical distribution functions are proposed to model the distribution of measured values. The model enables a more accurate prediction and simulation of PLC system performance and availability.
Copyright © 2019 Praise Worthy Prize - All rights reserved.
M. Zimmermann, K. Dostert, Analysis and modelling of impulsive noise in broadband power line communications, IEEE Trans. Electromagn. Comp., Volume 44, (Issue 1), February 2002, Pages 250–258.
Mosalaosi, M., Afullo, T., Broadband Characteristics for Multi-Path Power Line Communication Channels: Indoor Environments, (2016) International Journal on Communications Antenna and Propagation (IRECAP), 6 (4), pp. 244-254.
H. Meng, Y.L. Guan and S. Chen, Modeling and analysis of noise effects on broadband power line communications, IEEE Trans. On Power Delivery, Volume 20, (Issue 2), April 2005, Pages 630-637.
M. O. Asiyo and T. J. O. Afullo, Analysis of bursty impulsive noise in low-voltage indoor power line communication channels: Local scaling behaviour, SAIEE Africa Research Journal, Volume 108, (Issue 3), September 2017, Pages 98-107.
Liakouti, A., Benbassou, A., Drissi, K., Kerroum, K., An Efficient Model of the Electromagnetic Field Radiated from Different PLC Configurations, (2016) International Journal on Communications Antenna and Propagation (IRECAP), 6 (4), pp. 232-238.
T. Shongwe, A.J. Han Vinck and H.C. Ferreira, A study on impulse noise and its models, SAIEE Africa Research Journal, Volume 106, (Issue 3), September 2015, Pages 119-131.
M. Mosalaosi, Characterization and modeling of the channel and noise for broadband indoor power line communication (PLC) networks, Ph.D. dissertation, School of Eng., Univ. of KwaZulu-Natal, Durban, South Africa, 2017.
M. Gotz, M. Rapp and K. Dostert, Power line channel characteristics and their effect on communication system design, IEEE Commun. Magazine, Volume 42, (Issue 4), April 2004, Pages 78-86.
Bouassam, H., Degardin, V., Rifi, M., Effects of Load Distribution on Indoor Power Line Communication, (2017) International Journal on Communications Antenna and Propagation (IRECAP), 7 (3), pp. 246-253.
F. Rouissi, H. Gassara, A. Ghazel and S. Najjar, Comparative study of impulse noise models in the narrow band indoor PLC environment, 10th Workshop on Power Line Communications, Paris, France, October 2016.
A. M. Nyete, A flexible statistical framework for the characterization and modelling of noise in power line communication channels, Ph.D. dissertation, School of Eng., Univ. of KwaZulu-Natal, Durban, South Africa, 2016.
S.O. Awino, T.J.O. Afullo, M. Mosalaosi and P.O. Akuon, Empirical identification of narrowband interference in broadband PLC networks at the receiver, Progress of Electromagn. Research Symposium, pp. 2160-2164, Toyama, Japan, July 2018.
A. Emleh, A.S. de Beer, H.C. Ferreira and A.J. Han Vinck, Interference detection on power line communications channel when in-building wiring system acts as an antenna, 55th International Symposium ELMAR-2013, pp. 141-144, Zadar, Croatia, September 2013.
M. Mosalaosi and T.J.O. Afullo, Prediction of asynchronous impulsive noise volatility for indoor power line communication systems using GARCH models, Progress of Electromagn. Research Symposium, pp. 4876-4880, Shanghai, China, August 2016.
S.O. Awino, T.J.O. Afullo, M. Mosalaosi and P.O. Akuon, Time series analysis of impulsive noise in power line communication (PLC) networks, SAIEE Africa Research Journal, Volume 109, (Issue 4), December 2018, Pages 237-249.
A. Emleh, A.S. de Beer, H.C. Ferreira and A.J. Han Vinck, Noise detection on the low voltage network PLC channel for direct and indirect connections, 17th IEEE Mediterranean Electrotechnical Conference, pp. 203-207, Beirut, Lebanon, April 2014.
Benaissa, A., Abdelmalek, A., Feham, M., Reliability and Performance Improvement of MIMO-PLC System Under Alpha-Stable Noise, (2016) International Journal on Communications Antenna and Propagation (IRECAP), 6 (3), pp. 182-187.
G.L. Sanchez, and M.L. Guerrero, On the use of Alpha-stable distributions in noise modelling for PLC, IEEE Trans. On Power Delivery, Volume 30, (Issue 4), May 2015, Pages 1863-1870.
S. Prakash, A. Bansal and S. Knat Jha, Performance analysis of narrowband PLC system under Gaussian Laplacian noise model, International Conference on Electrical, Electronics and Optimization Techniques (ICEEOT), pp. 3597-3600, Chennai, India, March 2016.
A. Mathur, M.R. Bhatnagar and B.K. Panigrahi, Performance evaluation of PLC under the combined effect of background and impulsive noises, IEEE Commun. Letters, Volume 19, (Issue 7), May 2015, Pages 1117-1120.
F. Rouissi, V. Degardin, A. Ghazel, M. Lienard and F. Gauthier, Impulsive noise modelling using Markov chains in indoor environment-comparison with stochastic model, 12th IEEE International Conference on Electronics, Circuits and Systems, Gammarth, Tunisia, December 2005.
G. Ndo, F. Labeau, and M. Kassouf, A Markov-Middleton model for bursty impulsive noise: Modeling and receiver design, IEEE Trans. On Power Delivery, Volume 28, (Issue 4), October 2013, Pages 2317-2325.
G. Bolch, S. Greiner, H. D. Meer and K. S. Trivedi, Queueing networks and Markov chains modeling: Performance evaluation with computer science applications (John Wiley & Sons Ltd, 2006).
S. Karlin and H. M. Taylor, A first course in stochastic processes (Academic Press, Elsevier, 1975).
S. Ghahramani, Fundamentals of probabilities with stochastic processes (Pearson Education, Inc., 2005).
F. D. Diba, Radio wave propagation modeling under precipitation and clear-air at microwave and millimetric bands over wireless links in the horn of Africa, Ph.D. dissertation, School of Eng., Univ. of KwaZulu-Natal, Durban, South Africa, 2017.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2019 Praise Worthy Prize