Advanced Signal Processing for Digital Subscriber Lines
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Editorial Advanced Signal Processing for Digital Subscriber Lines 4 Michail Tsatsanis,5 and Wei Yu6 ¨ 3 Frank Sjoberg, ¨ Raphael Cendrillon,1 Iain Collings,2 Tomas Nordstrom, 1 Marvell
Hong Kong Ltd., Hong Kong Information Communication Technologies Center, Australia 3 Telecommunications Research Center Vienna (ftw.), Donau-City-StraBe 1, 1220 Vienna, Austria 4 Division of Signal Processing, Lule˚ a University of Technology, and Upzide Labs, Lule˚a, Sweden 5 Aktino Inc., Irvine, California, USA 6 Electrical and Computer Engineering Department, University of Toronto, 10 King’s College Road, Toronto, ON Canada, M5S 3G4 2 CSIRO
Received 27 January 2006; Accepted 27 January 2006 Copyright © 2006 Raphael Cendrillon et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The recent deployment of digital subscriber line (DSL) technology around the world is rapidly making broadband access for the mass consumer market a reality. The ever-growing customer demand for higher data rates has been fueled by the popularity of applications like peer-to-peer (P2P) filesharing networks and video-streaming and high-definition television (HDTV). DSL technology allows telephone operators to get maximum leverage out of their existing infrastructure by delivering broadband access over existing twistedpair telephone lines. At the heart of DSL lies a plethora of signal processing techniques which enable such high-speed transmission to be achieved over a medium originally designed with only voice-band transmission in mind. These advanced signal processing techniques address many challenges that exist in DSL networks today, such as the near-end and far-end crosstalk (NEXT/FEXT), impulse noise, peak-toaverage-power ratio (PAR), intersymbol and intercarrier interference (ISI/ICI), radio-frequency interference (RFI), and so forth. The goal of this special issue is to discuss the stateof-the-art and recent advances in signal processing techniques for DSL. The special issue consists of fifteen papers on a range of topics. The first set of papers focuses on the area of dynamic spectrum management (DSM). In a conventional DSL deployment, the transmit spectrum for all modems in a bundle are fixed to a predetermined level. As DSL deployment becomes increasingly heterogeneous, crosstalk produced by modems under a fixed spectrum can be a source of significant interference. Dynamic spectrum management aims to improve the data rates and reaches of conventional DSL
systems by adaptively varying transmit power-spectral density according to geographic locations and the crosstalk channel characteristics of the subscribers in each bundle. This issue contains six papers on DSM. In “The worst-case interference in DSL systems employing dynamic spectral management,” Brady and Cioffi answer the question of what the worst-case crosstalk interference is for a given DSL line. They characterize the perform
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