DocumentCode :
3429592
Title :
Gaussian approximations for the capacity of MIMO Rayleigh fading channels
Author :
Kamath, M. Ajith ; Hughes, Brian L. ; Yu, Xinying
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Volume :
1
fYear :
2002
fDate :
3-6 Nov. 2002
Firstpage :
614
Abstract :
We consider the asymptotic behavior of the capacity of multiple antenna Rayleigh fading channels in the limit as the transmit and receive arrays become large. We show that the capacity random variable has a limiting Gaussian distribution, and give closed form formulas for its mean and variance when the arrays are uncorrelated. We also derive a more general formula for the variance in terms of the ergodic capacity which is applicable when either the transmit or the receive arrays are correlated. These results enable us to derive the first asymptotic formula for outage capacity, as well as a sharper estimate of the error in previously reported asymptotic formulas for ergodic capacity. Although these formulas are asymptotic, we show by simulations that they are often quite accurate, even for relatively small arrays.
Keywords :
Gaussian distribution; MIMO systems; Rayleigh channels; antenna arrays; antenna theory; channel capacity; receiving antennas; transmitting antennas; Gaussian approximation; MIMO systems; Rayleigh fading channels; asymptotic behavior; ergodic capacity; error estimation; multiple antennas; multiple-input-multiple-output; random matrix theory; receive arrays; transmit arrays; Antenna arrays; Capacity planning; Fading; Gallium nitride; Gaussian distribution; MIMO; Random variables; Receiving antennas; Transmitters; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-7576-9
Type :
conf
DOI :
10.1109/ACSSC.2002.1197254
Filename :
1197254
Link To Document :
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