Crosstalk Mitigation Techniques for Digital Subscriber Line Systems - Düngen, Monique
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To allow DSL systems to support an always increasing amount of high-rate applications and run them stably, high data rates need to be guaranteed at a limited amount of computational complexity available for crosstalk mitigation. In this dissertation, first a channel estimation technique and channel adaptation procedures are presented as sufficiently accurate channel state information is the basis for many crosstalk reduction methods. The proposed techniques lead to increased performance of DSL systems. In the second and main part, crosstalk mitigation methods to fulfill data rate constraints…mehr

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Produktbeschreibung
To allow DSL systems to support an always increasing amount of high-rate applications and run them stably, high data rates need to be guaranteed at a limited amount of computational complexity available for crosstalk mitigation. In this dissertation, first a channel estimation technique and channel adaptation procedures are presented as sufficiently accurate channel state information is the basis for many crosstalk reduction methods. The proposed techniques lead to increased performance of DSL systems. In the second and main part, crosstalk mitigation methods to fulfill data rate constraints in DSL networks are introduced. They achieve the high data rate targets at a low computational complexity. Die Übertragungsrate moderner DSL Systeme ist durch Übersprechen begrenzt, dennoch soll eine steigende Zahl von hochratigen Applikationen unterstützt werden. Um deren stabile Nutzung zu ermöglichen, müssen hohe Datenraten auch bei begrenztem Rechenaufwand für die Übersprechreduzierung garantiert werden. Diese Dissertation präsentiert zuerst leistungsfähige Techniken zur Kanalschätzung, da eine Kanalkenntnis für viele Reduktionsverfahren grundlegend ist. Im Hauptteil der Arbeit werden Methoden zur Reduzierung von Übersprechen gezeigt, mit denen Datenratenanforderungen in DSL Netzwerken erfüllt werden können. Sie erlauben ein Erreichen der Datenratenziele bei geringer benötigter Rechenkomplexität.
Autorenporträt
Monique Düngen received the Dipl.-Ing. degree in electrical engineering from Hamburg University of Technology, Germany in April 2007. Until September 2011 she worked with Prof. Hermann Rohling as a research assistant at the Institute of Telecommunications of the same university, investigating techniques for crosstalk reduction and data rate guarantees in modern DSL systems. Since February 2012, Monique Düngen is part of Corporate Research of Robert Bosch GmbH, developing future communication systems for industrial, multimedia and automotive applications.