Coverage Optimization in DSL Networks by Low-Complexity Discrete Spectrum Balancing
2011 (English)Conference paper, Published paper (Refereed)
Abstract [en]
Spectrum balancing is an established optimization approach in multi-carrier digital subscriber line (DSL) systems. It has previously been applied to very different performance objectives such as sum-rate, min-rate, or fairness maximization and sum-power minimization. In this work we study the maximization of the service coverage, which will be defined as the number of DSL lines which can be granted an operator-specified high-bandwidth service. The proposed algorithm is based on a previously described mathematical decomposition framework. We extend this framework for our new problem and enhance its scalability by various low-complexity heuristics. Simulations demonstrate the applicability of our algorithm for DSL networks of realistic sizes. More precisely, our results obtained in thousand 25 user near-far DSL scenarios show an average gain in service coverage of more than 13% compared to state-of-the-art sum-rate maximizing spectrum balancing algorithms. © 2011 IEEE.
Place, publisher, year, edition, pages
Piscataway, N.J.: IEEE Press, 2011.
Series
IEEE Global Telecommunications Conference (Globecom), ISSN 1930-529X
Keywords [en]
Balancing algorithms, Digital subscriber line systems, Discrete spectrum, DSL networks, High bandwidth, Low-complexity, Mathematical decomposition, Multi carrier, Near-far, Optimization approach, Performance objective, Sum-rate
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-21174DOI: 10.1109/GLOCOM.2011.6134345ISI: 000300509004099Scopus ID: 2-s2.0-84857214557OAI: oai:DiVA.org:hh-21174DiVA, id: diva2:588880
Conference
In Proc. IEEE Global Communications Conference (GLOBECOM), Houston, Texas, USA, December 5-9, 2011
2013-01-162013-01-162020-10-02Bibliographically approved