DocumentCode :
775098
Title :
A rate adaptive bit-loading algorithm for in-building power-line communications based on DMT-modulated systems
Author :
Morosi, Simone ; Marabissi, Dania ; Del Re, Enrico ; Fantacci, Romano ; Del Santo, Nicola
Author_Institution :
Dipt. di Elettronica e Telecomumcazioni, Universita degli Studi di Firenze
Volume :
21
Issue :
4
fYear :
2006
Firstpage :
1892
Lastpage :
1897
Abstract :
This paper deals with a variable rate discrete multitone modulation system for broadband power-line communications, based on the bit-loading algorithm proposed by Leke and Cioffi. In the proposed system a suitable least mean square channel estimator is considered, which is based on the insertion of a training sequence (TS). The proposed approach will be compared with the ideal channel estimates, showing its effectiveness. Moreover, different TS lengths will be compared. The system performance, expressed in terms of bit rate and bit-error rate, is derived by simulation with and without estimation errors. The propagation environment has been assumed as a frequency-selective multipath fading channel with additive colored Gaussian noise, according to the in-building networks model
Keywords :
Gaussian noise; broadband networks; carrier transmission on power lines; channel estimation; error statistics; fading channels; least mean squares methods; multipath channels; additive colored Gaussian noise; bit-error rate; broadband power-line communications; frequency-selective multipath fading channel; inbuilding power-line communications; least mean square channel estimator; rate adaptive bit-loading algorithm; training sequence insertion; variable rate discrete multitone modulation system; Additive noise; Bit error rate; Bit rate; Broadband communication; Estimation error; Fading; Frequency; Gaussian noise; OFDM modulation; System performance; Bit-loading algorithm; broadband power-line communications; discrete multitone modulation; least mean square (LMS) channel estimator;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2006.874662
Filename :
1705546
Link To Document :
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