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https://doi.org/10.1109/glocom...
Article . 2005 . Peer-reviewed
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A rate adaptive bit-loading algorithm for a DMT modulation system for in-building power-line communications

Authors: Morosi Simone; Marabissi Dania; Fantacci Romano; Del Re Enrico; Del Santo Nicola;

A rate adaptive bit-loading algorithm for a DMT modulation system for in-building power-line communications

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.

Country
Italy
Related Organizations
Keywords

Discrete Multi-tone Modulation, power line communications, bit-loading, channel estimation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green