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Linear and nonlinear precoding based dynamic spectrum management for downstream vectored G.fast transmission

Tijdschriftbijdrage - Tijdschriftartikel

© 1972-2012 IEEE. In the G.fast digital subscriber line frequency range (up to 106 or 212 MHz), where crosstalk channels may even become larger than direct channels, linear zero-forcing (ZF) precoding is no longer near-optimal for downstream (DS) vectored transmission. To improve performance, we develop a novel low-complexity algorithm for both linear and nonlinear precoding-based dynamic spectrum management that maximizes the weighted sum-rate under realistic per-line total power and per-tone spectral mask constraints. It applies to DS scenarios with a single copper line at each customer site [i.e., broadcast channel (BC) scenarios], as well as to DS scenarios with multiple copper lines at some or all customer sites (i.e., the so-called multiple-input-multiple-output-BC scenarios). The algorithm alternates between precoder and equalizer optimization, where the former relies on a Lagrange multiplier based transformation of the DS dual decomposition approach formulation into its dual upstream (US) formulation, together with a low-complexity iterative fixed-point formula to solve the resulting US problem. Simulations with measured G.fast channel data of a very high crosstalk cable binder are provided revealing a significantly improved performance of this algorithm over ZF techniques for various scenarios, and in addition, a faster convergence rate compared with the state-of-the-art WMMSE algorithm.
Tijdschrift: IEEE Transactions on Communications
ISSN: 0090-6778
Issue: 3
Volume: 65
Pagina's: 1247 - 1259
Jaar van publicatie:2016
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:3
CSS-citation score:1
Authors from:Private, Higher Education
Toegankelijkheid:Open