Mercury/waterfilling: Optimum power allocation with arbitrary input constellations

Angel Lozano, Antonia M. Tulino, Sergio Verdú

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

21 Scopus citations

Abstract

For parallel independent Gaussian-noise channels with an aggregate power constraint, independent Gaussian inputs whose powers are allocated according to the waterfilling policy maximize the sum mutual information. In practice, however, discrete signalling constellations such as m-PSK or m-QAM are used in lieu of the ideal Gaussian signals. This paper gives the power allocation policy, referred to as mercury/waterfilling, that maximizes the sum mutual information over parallel channels with arbitrary input constellations.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 05
Pages1773-1777
Number of pages5
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE International Symposium on Information Theory, ISIT 05 - Adelaide, Australia
Duration: Sep 4 2005Sep 9 2005

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2005
ISSN (Print)2157-8099

Other

Other2005 IEEE International Symposium on Information Theory, ISIT 05
CountryAustralia
CityAdelaide
Period9/4/059/9/05

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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    Lozano, A., Tulino, A. M., & Verdú, S. (2005). Mercury/waterfilling: Optimum power allocation with arbitrary input constellations. In Proceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 05 (pp. 1773-1777). [1523650] (IEEE International Symposium on Information Theory - Proceedings; Vol. 2005). https://doi.org/10.1109/ISIT.2005.1523650