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.

A Rate Adaptive Bit-Loading Algorithm for In-Building Power-Line Communications based on DMT-Modulated Systems / S. Morosi; D.Marabissi; E.Del Re; R.Fantacci; N. Del Santo. - In: IEEE TRANSACTIONS ON POWER DELIVERY. - ISSN 0885-8977. - STAMPA. - 21:(2006), pp. 1892-1897. [10.1109/TPWRD.2006.874662]

A Rate Adaptive Bit-Loading Algorithm for In-Building Power-Line Communications based on DMT-Modulated Systems

MOROSI, SIMONE;MARABISSI, DANIA;DEL RE, ENRICO;FANTACCI, ROMANO;
2006

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.
2006
21
1892
1897
S. Morosi; D.Marabissi; E.Del Re; R.Fantacci; N. Del Santo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/251821
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