Mercury/waterfilling: Optimum power allocation with arbitrary input constellations

Angel Lozano; Antonia M. Tulino; Sergio Verdú

doi:10.1109/ISIT.2005.1523650

Mercury/waterfilling: Optimum power allocation with arbitrary input constellations

Angel Lozano, Antonia M. Tulino, Sergio Verdú

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 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 language	English (US)
Title of host publication	Proceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 05
Pages	1773-1777
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2005.1523650
State	Published - 2005
Event	2005 IEEE International Symposium on Information Theory, ISIT 05 - Adelaide, Australia Duration: Sep 4 2005 → Sep 9 2005

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
Volume	2005
ISSN (Print)	2157-8099

Other

Other	2005 IEEE International Symposium on Information Theory, ISIT 05
Country/Territory	Australia
City	Adelaide
Period	9/4/05 → 9/9/05

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2005.1523650

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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). Article 1523650 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2005). https://doi.org/10.1109/ISIT.2005.1523650

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title = "Mercury/waterfilling: Optimum power allocation with arbitrary input constellations",

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.",

author = "Angel Lozano and Tulino, {Antonia M.} and Sergio Verd{\'u}",

year = "2005",

doi = "10.1109/ISIT.2005.1523650",

language = "English (US)",

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series = "IEEE International Symposium on Information Theory - Proceedings",

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note = "2005 IEEE International Symposium on Information Theory, ISIT 05 ; Conference date: 04-09-2005 Through 09-09-2005",

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Lozano, A, Tulino, AM & 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., 1523650, IEEE International Symposium on Information Theory - Proceedings, vol. 2005, pp. 1773-1777, 2005 IEEE International Symposium on Information Theory, ISIT 05, Adelaide, Australia, 9/4/05. https://doi.org/10.1109/ISIT.2005.1523650

Mercury/waterfilling: Optimum power allocation with arbitrary input constellations. / Lozano, Angel; Tulino, Antonia M.; Verdú, Sergio.
Proceedings of the 2005 IEEE International Symposium on Information Theory, ISIT 05. 2005. p. 1773-1777 1523650 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Mercury/waterfilling: Optimum power allocation with arbitrary input constellations

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