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Low-Complexity Optimal Discrete-Rate Spectrum Balancing in Digital Subscriber Lines
FTW Telecommunications Research Center Vienna, Vienna, Austria.
KTH, Stockholm, Sverige. (ACCESS Linnaeus Center, Signal Processing Lab)
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0002-0562-2082
2013 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 93, no 1, 23-34 p.Article in journal (Refereed) Published
Abstract [en]

Discrete-rate spectrum balancing in interference-limited multi-user and multi-carrier digital subscriber lines (DSL) is a large-scale, non-convex and combinatorial problem. Previously proposed algorithms for its (dual) optimal solution are only applicable for networks with few users, while the suboptimality of less complex bit-loading algorithms has not been adequately studied so far. We deploy constrained optimization techniques as well as problem-specific branch-and-bound and search-space reduction methods, which for the first time give a low-complexity guarantee of optimality in certain multi-user DSL networks of practical size. Simulation results precisely quantify the suboptimality of multi-user bit-loading schemes in a thousand ADSL2 scenarios under measured channel data.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2013. Vol. 93, no 1, 23-34 p.
Keyword [en]
Power control, DSL, Interference channel, Combinatorial search
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-19498DOI: 10.1016/j.sigpro.2012.06.007ISI: 000309849400003Scopus ID: 2-s2.0-84866370403OAI: oai:DiVA.org:hh-19498DiVA: diva2:550315
Available from: 2012-09-06 Created: 2012-09-06 Last updated: 2014-11-18Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
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  • Other style
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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