Title :
The asymptotic capacity of multiple-antenna Rayleigh-fading channels
Author :
Kamath, M. Ajith ; Hughes, Brian L.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
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 converges in distribution to a Gaussian random variable, and give closed-form formulas for its mean and variance. These results enable us to derive the first asymptotic formula for outage rates, 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 simulation that they are often quite accurate, even for relatively small arrays.
Keywords :
Gaussian distribution; Rayleigh channels; antenna arrays; channel capacity; channel coding; matrix algebra; random processes; receiving antennas; space-time codes; transmitting antennas; Gaussian random variable; Rayleigh-fading channel; asymptotic capacity; asymptotic formula; capacity convergence; closed-form formula; ergodic capacity; multiple-antenna array; random matrix theory; receive array; space-time coding; transmit array; Capacity planning; Fading; Gallium nitride; Multipath channels; Mutual information; Random variables; Rayleigh channels; Receiving antennas; Transmitters; Transmitting antennas; Capacity; fading channels; multiple-antenna communication; random matrix theory; space–time coding;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2005.858966