DocumentCode
2670105
Title
Statistical approach to MIMO capacity analysis in a fading channel
Author
Levin, G. ; Loyka, S.
Author_Institution
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
Volume
3
fYear
2004
fDate
26-29 Sept. 2004
Firstpage
1548
Abstract
Theoretical analysis of the MIMO outage capacity distribution for an uncorrelated Rayleigh fading channel reveals that the Gaussian distribution is a good approximation, especially for large a number of antennas. The question as to whether the measured channel capacity distribution is close to the theoretical one has not been answered yet in a satisfactory way. We address this problem by developing a statistically-rigorous procedure (in terms of hypothesis testing) for the analysis of the mean and outage capacities of MIMO channels (both, theoretical models and measured) with the main goal being to compare the theoretical and measured capacity distribution, especially the validity of Gaussian approximation for the measured outage capacity. As we demonstrate, there is a tight lower bound on the amount of measured data necessary to provide a unique answer with high confidence probability. Additionally, based on the procedure above, we develop guidelines for future measurements and Monte-Carlo simulations in terms of accuracy.
Keywords
Gaussian distribution; MIMO systems; Rayleigh channels; channel capacity; statistical analysis; Gaussian approximation; Gaussian distribution; MIMO capacity analysis; Monte-Carlo simulations; hypothesis testing; mean channel capacity distribution; outage capacity distribution; statistical analysis; uncorrelated Rayleigh fading channel; Antenna measurements; Channel capacity; Fading; Gaussian approximation; Gaussian distribution; MIMO; Probability; Rayleigh channels; Receiving antennas; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN
1090-3038
Print_ISBN
0-7803-8521-7
Type
conf
DOI
10.1109/VETECF.2004.1400294
Filename
1400294
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