Generalized mercury/waterfilling for multiple-input multiple-output channels

Fernando Pérez-Cruz, Miguel R.D. Rodrigues, Sergio Verdú

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

We determine the power-allocation policy that maximizes the mutual information for general multiple-input multiple-output Gaussian channels with arbitrary input distributions, by capitalizing on the recent relationship between mutual information and minimum mean squared error (MMSE). In this context, we put forth a novel interpretation of the optimal power-allocation procedure that generalizes the mercury/waterfilling algorithm, previously proposed for parallel non-interfering channels. In this generalization the mercury level accounts for the sub-optimal (non-Gaussian) input distribution and the interferences between inputs.

Original languageEnglish (US)
Title of host publication45th Annual Allerton Conference on Communication, Control, and Computing 2007
PublisherUniversity of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
Pages198-205
Number of pages8
Volume1
ISBN (Electronic)9781605600864
StatePublished - Jan 1 2007
Event45th Annual Allerton Conference on Communication, Control, and Computing 2007 - Monticello, United States
Duration: Sep 26 2007Sep 28 2007

Other

Other45th Annual Allerton Conference on Communication, Control, and Computing 2007
CountryUnited States
CityMonticello
Period9/26/079/28/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications

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