DocumentCode :
3086445
Title :
Statistical Modeling of Asynchronous Impulsive Noise in Powerline Communication Networks
Author :
Nassar, Marcel ; Gulati, Kapil ; Mortazavi, Yousof ; Evans, Brian L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Powerline distribution networks are increasingly being employed to support smart grid communication infrastructure and in-home LAN connectivity. However, their primary function of power distribution results in a hostile environment for communication systems. In particular, asynchronous impulsive noise, with levels as high as 50dB above thermal noise, causes significant degradation in communication performance. Much of the prior work uses limited empirical measurements to propose a statistical model for instantaneous statistics of asynchronous noise. In this paper, we (i) derive a canonical statistical-physical model of the instantaneous statistics of asynchronous noise based on the physical properties of the PLC network, and (ii) validate the distribution using simulated and measured PLC noise data. The results of this paper can be used to analyze, simulate, and mitigate the effect of the asynchronous noise on PLC systems.
Keywords :
carrier transmission on power lines; distribution networks; impulse noise; statistical analysis; thermal noise; PLC network; PLC noise data; asynchronous impulsive noise statistical modeling; canonical statistical-physical model; communication systems; in-home LAN connectivity; instantaneous statistics; powerline communication networks; powerline distribution networks; smart grid communication infrastructure; thermal noise; Data models; Interference; Mathematical model; Monte Carlo methods; Noise; Receivers; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6134477
Filename :
6134477
Link To Document :
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