SCALE: a low-complexity distributed protocol for spectrum balancing in multiuser DSL networks
IEEE Transactions on Information Theory
Distributed Spectrum Management Algorithms for Multiuser DSL Networks
IEEE Transactions on Signal Processing - Part I
Dynamic spectrum management for next-generation DSL systems
IEEE Communications Magazine
CuPON: the Copper alternative to PON 100 Gb/s DSL networks [Accepted from Open Call]
IEEE Communications Magazine
Vectored transmission for digital subscriber line systems
IEEE Journal on Selected Areas in Communications
Distributed multiuser power control for digital subscriber lines
IEEE Journal on Selected Areas in Communications
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One of the major sources of performance degradation of current Digital Subscriber Line systems is the electromagnetic coupling among different twisted pairs within the same cable bundle (crosstalk). Several algorithms for Dynamic Spectrum management have been proposed to counteract the crosstalk effect but their complexity remains a challenge in practice. Optimal Spectrum Balancing (OSB) is a centralized algorithm that optimally allocates the available transmit power over the tones making use of a Dual decomposition approach where Lagrange multipliers are used to enforce the constraints and decouple the problem over the tones. However, the overall complexity of this algorithm remains a challenge for practical DSL environments. The authors propose a low-complex algorithm based on a combination of simulated annealing and non-linear simplex to find local (almost global) optimum spectra for multiuser DSL systems, whilst significantly reducing the prohibitive complexity of traditional OSB. The algorithm assumes a Spectrum Management Center (at the cabinet side) but it neither relies on own end-user modem calculations nor on messaging-passing for achieving its performance objective. The approach allows furthering reducing the number of function evaluations achieving further reduction on the convergence time (up to ~27% gain) at reasonable payoff (weighted data rate sum).