A rate adaptive bit-loading algorithm for in-building power-line communications based on DMT-modulated systems

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...

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Bibliographic Details
Published in:IEEE transactions on power delivery Vol. 21; no. 4; pp. 1892 - 1897
Main Authors: Morosi, S., Marabissi, D., Enrico Del Re, Fantacci, R., Del Santo, N.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.10.2006
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Additive noise
Algorithms
Applied sciences
Bit error rate
Bit rate
Bit-loading algorithm
Broadband
Broadband communication
broadband power-line communications
Channels
Communication systems
discrete multitone modulation
Estimation error
Exact sciences and technology
Fading
Frequency
Gaussian noise
Insertion
least mean square (LMS) channel estimator
Least mean squares algorithm
Modulation
OFDM modulation
System performance
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Performance evaluation
Fading
Estimation error
Adaptive algorithm
Error estimation
least mean square (LMS) channel estimator
Bit error rate
Bit-loading algorithm
Wide band transmission
broadband power-line communications
Discrete system
Varying speed
Learning
discrete multitone modulation
Carrier transmission on power lines
System simulation
Effectiveness factor
Comparative study
Least mean squares methods
ISSN:0885-8977, 1937-4208
Online Access:Get full text
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Description
Summary: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
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ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2006.874662