DocumentCode
392261
Title
Performance of MIMO space-time coded discrete modulations . II. Extensions and frequency-selective fading channels
Author
Cheng, Jung-Fu Thomas
Author_Institution
Ericsson Res., Research Triangle Park, NC, USA
Volume
2
fYear
2002
fDate
17-21 Nov. 2002
Firstpage
1182
Abstract
For pt. see ibid., p.1177-81(2002).We continue the consideration of the maximum-likelihood decoding performance of MIMO space-time random coded communication on quasi-static fading channels. First, we generalize the formulation to frequency-selective fading channels. By the equivalence of multipath fading and delay diversity coding, we show the system can be analyzed with an equivalent flat fading representation. We then present numerical results of the p% cutoff capacities, which are defined as the highest supportable rates for target cutoff probabilities at p%. Our discussion show how this new notion can provide a unified view of three main theoretic results of MIMO space-time coding: rate enhancements, achievable diversity gains, and performance of specific codes. As a result, this analysis of cutoff capacities reveals the relative strengths and weaknesses of several space-time coding schemes in interesting and surprising ways.
Keywords
MIMO systems; channel capacity; delays; diversity reception; fading channels; maximum likelihood decoding; modulation coding; multipath channels; probability; space-time codes; MIMO space-time coded discrete modulation; achievable diversity gains; cutoff capacities; cutoff probabilities; delay diversity coding; flat fading representation; frequency-selective fading channels; maximum likelihood decoding performance; multipath fading; quasi-static fading channels; rate enhancements; AWGN; Decoding; Delay; Dispersion; Frequency; Frequency-selective fading channels; Information rates; MIMO; Modulation coding; Performance gain;
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.2002.1188383
Filename
1188383
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