DocumentCode
2327096
Title
GEN01-5: Adaptive Linear Precoded DMT as an Efficient Resource Allocation Scheme for Power-Line Communications
Author
Crussiere, Matthieu ; Baudais, Jean Yves ; Helard, Jean Francois
Author_Institution
CNRS, Rennes
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
5
Abstract
In this paper, we propose to apply adaptive loading principles to linear precoded digital multitone (LP-DMT). This new approach can especially be exploited in the powerline context, since it requires the knowledge of the channel at the transmitter. We first show that maximal waveform capacity is achieved when orthogonal matrices are used to linearly precode the multitone signal. A practical loading algorithm based on tone clustering is then developed to handle the configuration of the system. This algorithm assigns tones, size of preceding matrices, bits and energies in order to maximize the total throughput of the system. The optimization procedure is led under power spectral density (PSD) limitations and finite order modulations constraint. Through simulations over power line channels, it is shown that the new adaptive LP-DMT system takes advantage of the carrier merging effect offered by the precoding function and then outperforms the non-precoded DMT system.
Keywords
OFDM modulation; adaptive codes; carrier transmission on power lines; channel coding; linear codes; modulation coding; orthogonal codes; resource allocation; OFDM modulation; PSD; adaptive linear precoded DMT; digital multitone modulation; maximal waveform capacity; optimization; orthogonal matrices; power line channels; power spectral density; power-line communications; precoding function; resource allocation scheme; tone clustering; Clustering algorithms; Computational complexity; Constraint optimization; Merging; OFDM modulation; Quadrature amplitude modulation; Resource management; Signal to noise ratio; Throughput; Transmitters;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location
San Francisco, CA
ISSN
1930-529X
Print_ISBN
1-4244-0356-1
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2006.147
Filename
4150777
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