Title :
Optimal Precoding for Digital Subscriber Lines
Author :
Pérez-Cruz, Fernando ; Rodrigues, Miguel R D ; Verdú, Sergio
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ
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 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.
Keywords :
Gaussian channels; MIMO communication; digital subscriber lines; least mean squares methods; linear codes; matrix algebra; precoding; MIMO Gaussian channel; MMSE; channel matrix diagonalization; digital subscriber lines; fixed-point equation; minimum mean squared error method; multiple-input multiple-output communication; mutual information; optimal linear precoder; Bit error rate; Communications Society; Computer science; DSL; Equations; Gaussian channels; MIMO; Mutual information; Telecommunications; Telephony;
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
DOI :
10.1109/ICC.2008.234
