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Robust Dynamic Spectrum Management for DMT-Based Systems
FTW, Österrike.
FTW, Österrike.
FTW, Österrike.ORCID iD: 0000-0002-0562-2082
2010 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 58, no 6, 3238-3250 p.Article in journal (Refereed) Published
Abstract [en]

In recent years an increasing effort was made to reduce the energy consumption in digital subscriber line equipment. Dynamic spectrum management (DSM) has been identified as one promising method to achieve energy-efficiency in discrete multitone based systems. An open research question is how to ensure system robustness when applying highly optimized energy-efficient spectrum management. In this paper, we study the problem of uncertainty in crosstalk noise and parameters, the knowledge of which is indispensable for many DSM algorithms. We introduce robust optimization for spectrum balancing as a technique to achieve feasibility of the optimal power-allocation under a deterministic parameter uncertainty model. This can be seen as an extension of current schemes for spectrum balancing. As a special case we consider the simple strategy of scaling the crosstalk parameters to their worst-case values, which corresponds to a specific uncertainty model and entails no changes to current DSM algorithms. Finally, we quantify the benefit in worst-case performance and the price in terms of energy by simulations. © 2010 IEEE.

Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2010. Vol. 58, no 6, 3238-3250 p.
Keyword [en]
Optimization methods, Resource management, Robustness, Subscriber loops
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-21168DOI: 10.1109/TSP.2010.2044291Scopus ID: 2-s2.0-77952568192OAI: oai:DiVA.org:hh-21168DiVA: diva2:588860
Available from: 2013-01-16 Created: 2013-01-16 Last updated: 2013-02-26Bibliographically approved

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