Abstract
Optimization of the power spectrum alleviates the crosstalk noise in digital subscriber lines (DSL) and thereby reduces their power consumption at present. In order to truly assess the DSL system power consumption, this article presents realistic line driver (LD) power consumption models. These are applicable to any DSL system and extend previous models by parameterizing various circuit-level non-idealities. Based on the model of a class-AB LD we analyze the multi-user power spectrum optimization problem and propose novel algorithms for its global or approximate solution. The thereby obtained simulation results support our claim that this problem can be simplified with negligible performance loss by neglecting the LD model. This motivates the usage of established spectral optimization algorithms, which are shown to significantly reduce the LD power consumption compared to static spectrum management.
Highlights
This article analyzes the modeling and optimization of the power consumption in multi-carrier digital subscriber line (DSL) transceivers
For that purpose we propose two novel numerical approaches for LD power optimization which are based on successive geometric programming (GP) [14,15] and difference-ofconvex-functions programming (DCP) [16], respectively
Based on the functional shape of the class-AB LD model we exemplarily study its optimization by dynamic spectrum management (DSM)
Summary
This article analyzes the modeling and optimization of the power consumption in multi-carrier digital subscriber line (DSL) transceivers. A key feature of this objective is its separability by subcarriers, which is a prerequisite for the Lagrange decomposition [10] of the DSM problem. This decomposition results in low-complexity and even distributed DSM implementations [11,12,13]. We hypothesize that TP minimization does not assume knowledge of the underlying LD power consumption, it achieves energy-efficiency at a negligible performance loss compared to a TP optimization taking the LD explicitly into account. In order to support this claim and to realistically assess energy savings by DSM it is indispensable to have an accurate model of the LD power
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