Fair greening for DSL broadband access
ACM SIGMETRICS Performance Evaluation Review
Green DSL: energy-efficient DSM
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A class of convergent algorithms for resource allocation in wireless fading networks
IEEE Transactions on Wireless Communications
Distributed power allocation in multi-user multi-channel cellular relay networks
IEEE Transactions on Wireless Communications
Semiblind spectrum balancing for DSL
IEEE Transactions on Signal Processing
Improved dual decomposition based optimization for DSL dynamic spectrum management
IEEE Transactions on Signal Processing
International Journal of Applied Metaheuristic Computing
Computational Optimization and Applications
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Modern digital subscriber line (DSL) networks suffer from crosstalk among different lines in the same cable bundle. This crosstalk can lead to a major performance degradation. By balancing the transmit power spectra, the impact of crosstalk can be minimized leading to spectacular performance gains. This is referred to as spectrum management. In this paper, a unifying perspective is presented on distributed spectrum management algorithms based on the Karush-Kuhn-Tucker (KKT) conditions. Furthermore, novel distributed algorithms are presented within the same KKT framework. The proposed distributed algorithms consist of local water-filling-like algorithms running in the individual modems, controlled by the spectrum management center. Extensive simulation results show that the proposed algorithms perform very well for several multi-user ADSL and VDSL scenarios.