Optimized Simple Bounds for Diversity Systems
Name
Conti-2009-Optimized Simple Bou.pdf
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361.15 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Conti, Andrea
Gifford, Wesley Michael
Win, Moe Z.
Chiani, Marco
Date Issued
October 2009
Journal
IEEE Transactions on Communications
Publisher
Institute of Electrical and Electronics Engineers
Citation
Conti, A. et al. “Optimized simple bounds for diversity systems.” Communications, IEEE Transactions on 57.9 (2009): 2674-2685. © 2009 Institute of Electrical and Electronics Engineers
Version
Final published version
Abstract
Diversity techniques play a key role in modern wireless systems, whose design benefits from a clear understanding of how these techniques affect system performance. To this aim we propose a simple class of bounds, whose parameters are optimized, on the symbol error probability (SEP) for detection of arbitrary two-dimensional signaling constellations with diversity in the presence of non-ideal channel estimation. Unlike known bounds, the optimized simple bounds are tight for all signal-to-noise ratios (SNRs) of interest. In addition, these bounds are easily invertible, which enables us to obtain bounds on the symbol error outage (SEO) and SNR penalty. As example applications for digital mobile radio, we consider the SEO in log-normal shadowing and the SNR penalty for both maximal ratio diversity, in the case of unequal branch power profile, and subset diversity, in the case of equal branch power profile, with non-ideal channel estimation. The reported lower and upper bounds are extremely tight, that is, within a fraction of a dB from each other.
Subjects
performance evaluation
optimized simple bounds
multichannel reception
fading channels
non-ideal channel estimation
inverse symbol error probability
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Article is made available in accordance with the publisher’s policy and may be subject to US copyright law. Please refer to the publisher’s site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1109/tcomm.2009.09.080276
