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GLOBECOM
2007
IEEE

Optimum Power Allocation and Bit Loading for Systems with Suboptimum Receivers

9 years 17 days ago
Optimum Power Allocation and Bit Loading for Systems with Suboptimum Receivers
— Waterfilling and mercury/waterfilling power allocation policies maximize the mutual information of independent parallel Gaussian-noise channels under an average power constraint for Gaussian signals and for practical discrete constellations respectively. In this paper, the same criterion is considered for joint power allocation and bit loading in more general scenarios where suboptimum receivers introduce a mutual information loss. The proposed approach provides the optimum solution without resorting to greedy algorithms and has nearly the same complexity as the original mercury/waterfilling.
David Matas, Meritxell Lamarca
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where GLOBECOM
Authors David Matas, Meritxell Lamarca
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