DocumentCode :
2310190
Title :
MIMO communication capacity using infinite dimension random matrix eigenvalue distributions
Author :
Bliss, Daniel W. ; Forsythe, Keith W. ; Yegulalp, Ali F.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Volume :
2
fYear :
2001
fDate :
4-7 Nov. 2001
Firstpage :
969
Abstract :
Wireless communication using multiple-input multiple-output (MIMO) systems enables increased spectral efficiency for a given total transmit power. MIMO capacity is a strong function of the singular value distribution of the channel matrix, the receive antenna to transmit antenna transfer matrix. In this paper the capacity is calculated using an asymptotic large random matrix approach. Bounds on the maximum spectral efficiency of MIMO systems in which both transmitter and receiver know the channel (channel estimate feedback), are compared with MIMO systems in which only the receiver knows the channel. In addition, MIMO performance in the presence of cooperative and uncooperative interfering MIMO systems is presented.
Keywords :
MIMO systems; antenna arrays; antenna theory; channel capacity; eigenvalues and eigenfunctions; matrix algebra; radio transmitters; radiofrequency interference; transmitting antennas; MIMO communication capacity; channel estimate feedback; channel matrix; cooperative interfering MIMO systems; infinite dimension random matrix eigenvalue distributions; maximum spectral efficiency; multiple-input multiple-output systems; random matrix approach; receive antenna to transmit antenna transfer matrix; singular value distribution; spectral efficiency; uncooperative interfering MIMO systems; wireless communication; Antenna arrays; Channel estimation; Eigenvalues and eigenfunctions; Feedback; Laboratories; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7147-X
Type :
conf
DOI :
10.1109/ACSSC.2001.987639
Filename :
987639
Link To Document :
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