DocumentCode :
449638
Title :
Generalized iterative spectrum balancing and grouped vectoring for maximal throughput of digital subscriber lines
Author :
Forouzan, Amir R. ; Garth, Lee M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Canterbury Univ., Christchurch
Volume :
4
fYear :
2005
fDate :
2-2 Dec. 2005
Lastpage :
2363
Abstract :
Loop loss and crosstalk are the main impairments in DSL. Recently, novel crosstalk rejection and reduction techniques have been proposed to achieve the maximum capacity of the DSL channel. The performance of these techniques depends strongly on the degree of coordination among the users. In this paper, we consider maximizing the throughput of DSL when the users are coordinated at different levels. Moreover, we propose a novel centralized power allocation algorithm by generalizing a recently proposed iterative spectrum balancing (ISB) algorithm. Our generalized ISB (GISB) algorithm provides a superior performance to the ISB with polynomial complexity in the number of users. This complexity is much lower than that of the optimal spectral balancing (OSB) algorithm. Moreover, it can be selected adaptively based on the available processing power
Keywords :
channel capacity; computational complexity; crosstalk; digital subscriber lines; interference suppression; iterative methods; DSL channel capacity; centralized power allocation algorithm; crosstalk rejection; digital subscriber lines; grouped vectoring; iterative spectrum balancing algorithm; loop loss; optimal spectral balancing algorithm; polynomial complexity; Computational complexity; Crosstalk; DSL; Interference cancellation; Interference channels; Iterative algorithms; Modems; OFDM modulation; Polynomials; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
0-7803-9414-3
Type :
conf
DOI :
10.1109/GLOCOM.2005.1578085
Filename :
1578085
Link To Document :
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