Understanding digital subscriber line technology
Understanding digital subscriber line technology
DSL Advances
Convex Optimization
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Partial crosstalk cancellation for upstream VDSL
EURASIP Journal on Applied Signal Processing
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
IEEE Transactions on Communications
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
Improved dual decomposition based optimization for DSL dynamic spectrum management
IEEE Transactions on Signal Processing
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In modern DSL systems, multi-user crosstalk is a major source of performance degradation. Optimal spectrum balancing (OSB) is a centralized algorithm that mitigates the effect of crosstalk by allocating optimal transmit spectra to all interfering DSL modems. By the use of Lagrange multipliers the algorithm decouples the spectrum management problem into per-tone optimization problems. The remaining issues are then finding the Lagrange multipliers that enforce the constraints and solving the per-tone optimization problems. Finding the optimal Lagrange multipliers can become complex when more than two users are considered. Starting from the single-user case, this paper presents a number of properties, which are then extended to the multi-user case and lead to an efficient search algorithm for the Lagrange multipliers. Simulations show that the number of Lagrange multiplier evaluations is as small as 20-50, independent of the number of users. Secondly, the complexity of the per-tone optimization problems grows exponentially with the number of lines in the binder. For multiple-user scenarios this becomes computationally intractable. This paper presents an efficient branch-and-bound approach for the per-tone optimization problem. Simulations show enormous complexity reductions, especially for a large number of users.