DocumentCode :
3044023
Title :
A rate adaptive bit-loading algorithm for a DMT modulation system for in-building power-line communications
Author :
Morosi, Simone ; Marabissi, Dania ; Del Re, Enrico ; Fantacci, Romano ; Del Santo, Nicola
Author_Institution :
Dipartimento di Elettronica e Telecomunicazioni, Univ. degli Studi di Firenze, Italy
Volume :
1
fYear :
2005
fDate :
28 Nov.-2 Dec. 2005
Abstract :
This paper deals with a variable rate discrete multi-tone modulation (DMT) system for broadband power-line communications (PLCs), based on the bit-loading algorithm proposed by Leke and Cioffi. In the proposed system a suitable LMS 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 performance of the system, expressed in terms of bit-rate and bit error rate (BER), with and without an estimation error is derived by simulation under the assumption of frequency-selective multipath fading channel and additive colored Gaussian noise, according to the in-building networks model.
Keywords :
broadband networks; carrier transmission on power lines; channel estimation; error statistics; fading channels; least mean squares methods; modulation; multipath channels; BER; DMT modulation system; LMS channel estimator; additive colored Gaussian noise; bit error rate; broadband power-line communications; discrete multitone modulation; frequency-selective multipath fading channel; in-building power-line communications; rate adaptive bit-loading algorithm; training sequence; Additive noise; Bit error rate; Broadband communication; Estimation error; Fading; Frequency estimation; Gaussian noise; Least squares approximation; OFDM modulation; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Print_ISBN :
0-7803-9414-3
Type :
conf
DOI :
10.1109/GLOCOM.2005.1577658
Filename :
1577658
Link To Document :
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