DocumentCode
3244172
Title
Free Deconvolution for MIMO Capacity Estimation
Author
Ryan, Øyvind ; Debbah, Mérouane
Author_Institution
Univ. of Oslo, Oslo
fYear
2007
fDate
4-7 Nov. 2007
Firstpage
72
Lastpage
76
Abstract
In many channel measurement applications, one needs to estimate some characteristics of the channels based on a limited set of measurements. This is mainly due to the highly time varying characteristics of the channel. In this contribution, it will be shown how free probability can be used for channel capacity estimation in MIMO systems. Free probability has already been shown to be an invaluable tool for describing the asymptotic behaviour of many systems when the dimensions of the system get large (i.e. the number of antennas). In particular, introducing the notion of free deconvolution, we provide hereafter an asymptotically (in the number of antennas) unbiased capacity estimator (w.r.t. the number of observations) for MIMO channels impaired with noise. Another unbiased estimator (for any number of observations) is also constructed by slightly modifying the free probability based estimator. The framework is then extended to MIMO channels with phase off-set and frequency drift for which no estimator has been provided so far.
Keywords
MIMO systems; channel capacity; channel estimation; deconvolution; MIMO capacity estimation; MIMO channels; MIMO systems; channel capacity estimation; channel measurement applications; free deconvolution; unbiased capacity estimator; Additive noise; Channel capacity; Covariance matrix; Deconvolution; Digital communication; Frequency estimation; MIMO; Mathematical model; Mathematics; Phase estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4244-2109-1
Electronic_ISBN
1058-6393
Type
conf
DOI
10.1109/ACSSC.2007.4487167
Filename
4487167
Link To Document