Statistical power allocation and coded bit allocation optimization in Mercury/Waterfilling

Michael M. Taouk; Matthew J M Peacock; Iain B. Collings

Statistical power allocation and coded bit allocation optimization in Mercury/Waterfilling

Michael M. Taouk^*, Matthew J M Peacock, Iain B. Collings

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

Motivated by statistical Waterfilling, we derive statistical Mercury/Waterfilling (M/WF) for both fixed average power and fixed average rate as the infinite time limit of the spatio-temporal M/WF solution. The M → ∞ limit of the conditional mean estimate (CME) receiver for unit-energy M-QAM constellations is derived, which may be used as a low complexity approximate CME estimate for dense QAM constellations. The asymptotic CME result is used to analytically characterize an upper bound on the mutual information properties of QAM. We develop a tree-search algorithm to efficiently optimize coded bit allocation in MAVF. Two analytical tests are derived to eliminate sub-trees of the graph.

Original language	English
Title of host publication	Proceedings - 7th Australian Communications Theory Workshop, 2006
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	159-164
Number of pages	6
Volume	2006
ISBN (Print)	1424402131, 9781424402137
Publication status	Published - 2006
Externally published	Yes
Event	7th Australian Communications Theory Workshop, 2006 - Perth, Australia Duration: 1 Feb 2006 → 3 Feb 2006

Other

Other	7th Australian Communications Theory Workshop, 2006
Country/Territory	Australia
City	Perth
Period	1/02/06 → 3/02/06

Cite this

@inproceedings{c3ff2bd2302a4d54a37542c219ae33ea,

title = "Statistical power allocation and coded bit allocation optimization in Mercury/Waterfilling",

abstract = "Motivated by statistical Waterfilling, we derive statistical Mercury/Waterfilling (M/WF) for both fixed average power and fixed average rate as the infinite time limit of the spatio-temporal M/WF solution. The M → ∞ limit of the conditional mean estimate (CME) receiver for unit-energy M-QAM constellations is derived, which may be used as a low complexity approximate CME estimate for dense QAM constellations. The asymptotic CME result is used to analytically characterize an upper bound on the mutual information properties of QAM. We develop a tree-search algorithm to efficiently optimize coded bit allocation in MAVF. Two analytical tests are derived to eliminate sub-trees of the graph.",

author = "Taouk, {Michael M.} and Peacock, {Matthew J M} and Collings, {Iain B.}",

year = "2006",

language = "English",

isbn = "1424402131",

volume = "2006",

pages = "159--164",

booktitle = "Proceedings - 7th Australian Communications Theory Workshop, 2006",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "7th Australian Communications Theory Workshop, 2006 ; Conference date: 01-02-2006 Through 03-02-2006",

}

Taouk, MM, Peacock, MJM & Collings, IB 2006, Statistical power allocation and coded bit allocation optimization in Mercury/Waterfilling. in Proceedings - 7th Australian Communications Theory Workshop, 2006. vol. 2006, 1625274, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 159-164, 7th Australian Communications Theory Workshop, 2006, Perth, Australia, 1/02/06.

Statistical power allocation and coded bit allocation optimization in Mercury/Waterfilling. / Taouk, Michael M.; Peacock, Matthew J M; Collings, Iain B.
Proceedings - 7th Australian Communications Theory Workshop, 2006. Vol. 2006 Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2006. p. 159-164 1625274.

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

TY - GEN

T1 - Statistical power allocation and coded bit allocation optimization in Mercury/Waterfilling

AU - Taouk, Michael M.

AU - Peacock, Matthew J M

AU - Collings, Iain B.

PY - 2006

Y1 - 2006

N2 - Motivated by statistical Waterfilling, we derive statistical Mercury/Waterfilling (M/WF) for both fixed average power and fixed average rate as the infinite time limit of the spatio-temporal M/WF solution. The M → ∞ limit of the conditional mean estimate (CME) receiver for unit-energy M-QAM constellations is derived, which may be used as a low complexity approximate CME estimate for dense QAM constellations. The asymptotic CME result is used to analytically characterize an upper bound on the mutual information properties of QAM. We develop a tree-search algorithm to efficiently optimize coded bit allocation in MAVF. Two analytical tests are derived to eliminate sub-trees of the graph.

AB - Motivated by statistical Waterfilling, we derive statistical Mercury/Waterfilling (M/WF) for both fixed average power and fixed average rate as the infinite time limit of the spatio-temporal M/WF solution. The M → ∞ limit of the conditional mean estimate (CME) receiver for unit-energy M-QAM constellations is derived, which may be used as a low complexity approximate CME estimate for dense QAM constellations. The asymptotic CME result is used to analytically characterize an upper bound on the mutual information properties of QAM. We develop a tree-search algorithm to efficiently optimize coded bit allocation in MAVF. Two analytical tests are derived to eliminate sub-trees of the graph.

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M3 - Conference proceeding contribution

AN - SCOPUS:33750944745

SN - 1424402131

SN - 9781424402137

VL - 2006

SP - 159

EP - 164

BT - Proceedings - 7th Australian Communications Theory Workshop, 2006

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 7th Australian Communications Theory Workshop, 2006

Y2 - 1 February 2006 through 3 February 2006

ER -

Statistical power allocation and coded bit allocation optimization in Mercury/Waterfilling

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