PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Optimal Precoding for Digital Subscriber Lines
Fernando Perez-Cruz, Massimiliano Rodrigues and S Verdu
In: International Conference on Communications (ICC), 19-23 May 2008, Beijing (China).

Abstract

We determine the linear precoding policy that maximizes the mutual information for general multiple-input multiple-output (MIMO) Gaussian channels with arbitrary input distributions, by capitalizing on the relationship between mutual information and minimum mean squared error (MMSE). The optimal linear precoder can be computed by means of a fixedpoint equation as a function of the channel and the input constellation.We show that diagonalizing the channel matrix does not maximize the information transmission rate for nonGaussian inputs. A full precoding matrix may significantly increase the information transmission rate, even for parallel non-interacting channels. We illustrate the application of our results to typical Gigabit DSL systems.

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EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:4912
Deposited By:Fernando Perez-Cruz
Deposited On:24 March 2009