DocumentCode
3315698
Title
What determines average and outage performance in fading channels?
Author
Wang, Zhengdao ; Giannakis, Georgios B.
Author_Institution
Dept. of Electr. & Comput. Eng., Minnesota Univ., USA
Volume
2
fYear
2002
fDate
17-21 Nov. 2002
Firstpage
1192
Abstract
We quantify the average performance of digital transmissions over fading channels at high signal-to-noise ratio (SNR). The performance criteria considered here are probability of error and outage probability. We show that as functions of the average SNR, they can both be characterized by two parameters: the diversity and coding gains. They have the same diversity order, but their coding gains in dB differ by a constant. The diversity and coding gains are found to be related to the behavior of the probability density function (PDF) only at the origin, or equivalently, to the decaying order of the characteristic function. Diversity and coding gains for diversity combining systems are found in terms of branch average SNR´s for arbitrarily distributed independent (in some cases, correlated) branches, which can allow one to analyze, e.g., coded transmissions through independent or correlated fading channels.
Keywords
correlation methods; digital radio; diversity reception; error statistics; fading channels; noise; PDF; average SNR; average performance; characteristic function; coded transmissions; coding gain; correlated branches; correlated fading channels; digital transmissions; diversity combining systems; diversity gain; error probability; fading channels; high signal-to-noise ratio; independent fading channels; multipath propagation; outage performance; outage probability; probability density function; Density functional theory; Diversity methods; Diversity reception; Error analysis; Error probability; Fading; Gain; Signal to noise ratio; System performance; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE
Print_ISBN
0-7803-7632-3
Type
conf
DOI
10.1109/GLOCOM.2002.1188385
Filename
1188385
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