Paper Info
Title
Alpha-Fair Dynamic Spectrum Management For Qrd-Based Precoding With User Encoding Ordering In Downstream G.Fast Transmission
Abstract
In next-generation digital subscriber line networks such as G.fast, employing discrete multi-tone transmission in high frequencies up to 212 MHz, the crosstalk among lines reaches very high levels. To precompensate the crosstalk in downstream transmission, QRD-based precoding has been proposed as a near-optimal dynamic spectrum management (DSM) technique. However, the performance of QRD-based precoding is greatly affected by the user encoding ordering (UEO). Since current multi-tone UEO methods are rather heuristic in the way they approach fairness, we develop, in this paper, a set of novel DSM algorithms for joint power allocation and UEO that enforce a generalized alpha-fairness policy. Since finding the globally optimal UEO entails a combinatorial optimization problem with excessive computational complexity, an iterative algorithm is proposed which uses pertone exhaustive searches (PTESs) and provides near-optimal approximate solutions. To further reduce the computational complexity, two suboptimal methods are suggested to replace the expensive PTESs, leading to two additional alpha-fair DSM algorithms that are tractable for large scenarios against little performance loss. Simulations of a G.fast cable binder show that the alpha-fair DSM algorithms achieve an efficient trade-off between fairness and performance in contrast to current UEO methods.
Year
DOI
Venue
2019
10.1109/TCOMM.2018.2890237
IEEE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
DSL, G.fast, dynamic spectrum management (DSM), nonlinear precoding (NLP), user encoding ordering
Journal
67
Issue
ISSN
Citations 
4
0090-6778
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Wouter Lanneer163.28
Paschalis Tsiaflakis233429.64
J. Maes322323.33
Marc Moonen43673326.91