DocumentCode :
1204353
Title :
Advanced signal processing for power line communications
Author :
Dai, Huaiyu ; Poor, H. Vincent
Author_Institution :
North Carolina State Univ., Raleigh, NC, USA
Volume :
41
Issue :
5
fYear :
2003
fDate :
5/1/2003 12:00:00 AM
Firstpage :
100
Lastpage :
107
Abstract :
In this article, signal processing techniques to combat the adverse communications environment on power lines are addressed, so as to enable reliable high speed data communications over low-voltage power distribution networks for Internet access and in-home/office networking. It is seen that multicarrier code-division multiple access, multiuser detection, and turbo decoding, having demonstrated their limit-approaching capacity in DSL and wireless communication systems, are readily applied to power line communications. In particular, it is argued that these methods can successfully mitigate the influence of the principal impairments in PLC channels: time-varying channel attenuation, multipath frequency-selective fading, multiple access interference, and background noise. Strategies to deal with the most unfavorable noise source, the impulse noise, are also discussed.
Keywords :
Internet; business communication; carrier transmission on power lines; code division multiple access; data communication; decoding; fading channels; interference suppression; multipath channels; multiuser detection; noise; signal processing; time-varying channels; turbo codes; Internet access; PLC channels; advanced signal processing; adverse communications environment; in-home networking; low-voltage power distribution networks; multicarrier code-division multiple access; multipath frequency-selective fading; multiple access interference; multiuser detection; office networking; power line communications; reliable high speed data communications; time-varying channel attenuation; turbo decoding; Data communication; Decoding; IP networks; Multiaccess communication; Multiuser detection; Power line communications; Power system reliability; Power systems; Signal processing; Telecommunication network reliability;
fLanguage :
English
Journal_Title :
Communications Magazine, IEEE
Publisher :
ieee
ISSN :
0163-6804
Type :
jour
DOI :
10.1109/MCOM.2003.1200108
Filename :
1200108
Link To Document :
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