Title :
Theory of Large Dimensional Random Matrices for Engineers
Author :
Silverstein, Jack W. ; Tulino, Antonia M.
Author_Institution :
Dept. of Math., North Carolina State Univ., Raleigh, NC
Abstract :
In the last few years, the asymptotic distribution of the singular values of certain random matrices has emerged as a key tool in the analysis and design of wireless communication channels. These channels are characterized by random matrices that admit various statistical descriptions depending on the actual application. The goal of this paper is the investigation and application of random matrix theory with particular emphasis on the asymptotic theorems on the distribution of the squared singular values under various assumption on the joint distribution of the random matrix entries
Keywords :
matrix algebra; statistical analysis; wireless channels; asymptotic theorem; joint distribution; large dimensional random matrix theory; squared singular value distribution; statistical description; wireless communication channel; Fading; Information theory; Mathematics; Multiaccess communication; Neural networks; Physics; Sensor arrays; Statistical distributions; Vectors; Wireless communication;
Conference_Titel :
Spread Spectrum Techniques and Applications, 2006 IEEE Ninth International Symposium on
Conference_Location :
Manaus-Amazon
Print_ISBN :
0-7803-9779-7
Electronic_ISBN :
0-7803-9780-0
DOI :
10.1109/ISSSTA.2006.311814