DocumentCode
3100923
Title
Transmit covariance for spatially-correlated multiple-antenna Ricean fading channels with channel distribution side information at transmitter
Author
Adibi, Mehdi ; Vakili, Vahid
Author_Institution
Young Researchers Club, Iran Univ. of Sci. & Technol., Tehran
fYear
2008
fDate
27-28 Aug. 2008
Firstpage
278
Lastpage
283
Abstract
In this paper, we cast the problem of finding the capacity-achieving transmit covariance of correlated Ricean MIMO fading channels as an equivalent problem as for uncorrelated Ricean MIMO channels. Perfect channel information is assumed to be available at the receiver, while the transmitter only has channel distribution side information. An iterative algorithm based on Newton method to compute the capacity-achieving transmit covariance for the general case of double-ended correlated MIMO channels is proposed in this paper as well. Additionally, we provide a reduced complexity technique to attain a suboptimal transmit covariance. One of the main contributions in this paper is the characterization of the eigenstructure of the suboptimal transmit covariance. Moreover, Sufficient condition is derived for the optimality of this suboptimal solution.
Keywords
MIMO communication; Newton method; Rician channels; antenna arrays; communication complexity; multifrequency antennas; radio transmitters; Newton method; capacity-achieving transmit covariance; channel distribution side information; complexity technique; double-ended correlated MIMO channel; iterative algorithm; receiver; spatially-correlated multiple-antenna Ricean fading channel; transmitter; AWGN; Baseband; Fading; Feedback; Iterative algorithms; MIMO; Newton method; Receiving antennas; Sufficient conditions; Transmitters; MIMO; capacity-achieving transmit covariance; convex optimization; ergodic capacity; multiple antenna; spatially-correlated Ricean fading;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications, 2008. IST 2008. International Symposium on
Conference_Location
Tehran
Print_ISBN
978-1-4244-2750-5
Electronic_ISBN
978-1-4244-2751-2
Type
conf
DOI
10.1109/ISTEL.2008.4651314
Filename
4651314
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