Abstract
In this paper, we develop and test new algorithms for the optimal discrete bit-loading of digital subscriber loop (DSL) multicarrier (MC) systems when constraints on both the total available energy and the maximum energies per carrier are active. Although pressing spectral-compatibility issues limit performance of emerging G.DMT-based wide-band ADSL services, nevertheless, up to now none of the several published discrete-loading algorithms claiming optimality accounts for peak-energy limitations. Therefore, after proving the matroid structure of the underlying combinatorial optimization problem, we develop fast-implementable iterative greedy-type algorithms that converge to the desired optimal discrete loading. Several numerical results and comparisons carried out on standardized ADSL loops are presented that allow us to evaluate the system's losses induced by the imposed spectral-compatibility constraints.
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