New Closed-Form of the Largest Eigenvalue PDF for Max-SNR MIMO System Performances

Jonathan Letessier Baptiste Vrigneau Phillipe Rostaing 1 Gilles Burel 1
1 Lab-STICC_UBO_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : Multiple-input multiple-output (MIMO) maxi-mum-SNR (max-SNR) system employs the maximum ratio combiner (MRC) at the receiver side and the maximum ratio transmitter (MRT) at the transmitter side. Its performances highly depend on MIMO channel characteristics, which vary according to both the number of antennas and their distribution between the transmitter and receiver sides. By using the decomposition of the ordered Wishart distribution in the uncorrelated Rayleigh case, we derived a closed-form expression of the largest eigenvalue probability density function (PDF). The final result yields to an expression form of the PDF where polynomials are multiplied by exponentials; it is worth underlining that, though this form had been previously observed for given couples of antennas, to date no formally-written closed-form was available in the literature for an arbitrary couple. Then, this new expression permits one to quickly and easily get the well known largest eigenvalue PDF and use it to determine the binary error probability (BEP) of the max-SNR.
Keywords : Wishart matrix PDF largest eigenvalue Rayleigh fading channel MIMO maximum SNR MRT/MRC
Type de document :
Article dans une revue
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2008, E91-A (7), pp.1791-1796
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http://hal.univ-brest.fr/hal-00395151
Contributeur : Stéphane Azou <>
Soumis le : lundi 15 juin 2009 - 10:25:08
Dernière modification le : mardi 16 janvier 2018 - 15:54:25

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Jonathan Letessier, Baptiste Vrigneau, Phillipe Rostaing, Gilles Burel. New Closed-Form of the Largest Eigenvalue PDF for Max-SNR MIMO System Performances. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2008, E91-A (7), pp.1791-1796. 〈hal-00395151〉

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