DocumentCode :
1824540
Title :
Statistical Power Allocation and Coded Bit Allocation Optimization in Mercury/Waterfilling
Author :
Taouk, Michael M. ; Peacock, Matthew J M ; Collings, Lain B.
Author_Institution :
Telecommunications Laboratory, School of Electrical and Information Engineering, The University of Sydney, Sydney NSW 2006, Australia. mtao5240@mail.usyd.edu.au
fYear :
2006
fDate :
1-3 Feb. 2006
Firstpage :
159
Lastpage :
164
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 M/WF. Two analytical tests are derived to eliminate sub-trees of the graph.
Keywords :
Australia; Bit rate; Communication systems; Discrete Fourier transforms; Laboratories; MIMO; Mutual information; OFDM; Quadrature amplitude modulation; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Theory Workshop, 2006. Proceedings. 7th Australian
Print_ISBN :
1-4244-0213-1
Type :
conf
DOI :
10.1109/AUSCTW.2006.1625274
Filename :
1625274
Link To Document :
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