TY - GEN
T1 - Optimal precoding for digital subscriber lines
AU - Pérez-Cruz, Fernando
AU - Rodrigues, Miguel R.D.
AU - Verdú, Sergio
PY - 2008
Y1 - 2008
N2 - 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 fixed-point 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.
AB - 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 fixed-point 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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U2 - 10.1109/ICC.2008.234
DO - 10.1109/ICC.2008.234
M3 - Conference contribution
AN - SCOPUS:51249084354
SN - 9781424420742
T3 - IEEE International Conference on Communications
SP - 1200
EP - 1204
BT - ICC 2008 - IEEE International Conference on Communications, Proceedings
T2 - IEEE International Conference on Communications, ICC 2008
Y2 - 19 May 2008 through 23 May 2008
ER -