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Power Loading in Parallel Diversity Channels Based on Statistical Channel Information.
- Source :
- IEEE Communications Letters; Jul2012, Vol. 16 Issue 7, p1060-1063, 0p
- Publication Year :
- 2012
-
Abstract
- In this paper, we show that there exists an arbitrary number of power allocation schemes that achieve capacity in systems operating in parallel channels comprised of single-input multiple-output (SIMO) Nakagami-m fading subchannels when the number of degrees of freedom L (e.g., the number of receive antennas) tends to infinity. Statistical waterfilling — i.e., waterfilling using channel statistics rather than instantaneous channel knowledge — is one such scheme. We further prove that the convergence of statistical waterfilling to the optimal power loading scheme is at least \mathcalO( 1/( L log L) ) , whereas convergence of other schemes is at worst \mathcalO( 1/ log L) . To validate and demonstrate the practical use of our findings, we evaluate the mutual information of example SIMO parallel channels using simulations as well as new measured ultrawideband channel data. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10897798
- Volume :
- 16
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- IEEE Communications Letters
- Publication Type :
- Academic Journal
- Accession number :
- 77874951
- Full Text :
- https://doi.org/10.1109/LCOMM.2012.050912.120485