Random matrix theory and wireless communications
Communications and Information Theory
Limits of multi-user MIMO systems using scheduling and rate feedback
Signal Processing
Outage Performance of OSTBC in Double Scattering MIMO Channels
Wireless Personal Communications: An International Journal
A new energy efficiency measure for quasi-static MIMO channels
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
On the Mutual information distribution of MIMO rician fading channels
IEEE Transactions on Communications
On the capacity of log-normal fading channels
IEEE Transactions on Communications
Outage performance of multi-antenna multicasting for wireless networks
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
IEEE Transactions on Communications
Random matrix model for Nakagami-Hoyt fading
IEEE Transactions on Information Theory
Distributed margin adaptive resource allocation in MIMO OFDMA networks
IEEE Transactions on Communications
Optimality of beamforming for MIMO multiple access channels via virtual representation
IEEE Transactions on Signal Processing
| Hi-index | 754.96 |
We derive analytical expressions for the probability density function (pdf) of the random mutual information between transmitted and received vector signals of a random space-time independent and identically distributed (i.i.d.) multiple-input multiple-output (MIMO) channel, assuming that the transmitted signals from the multiple antennas are Gaussian i.i.d.. We show that this pdf can be well approximated by a Gaussian distribution, and such a Gaussian approximation is based on expressions for the given pdfs mean and variance that we derive. We prove that at high signal-to-noise ratio (SNR), every factor of 2 increase in SNR leads to an increase in outage rate in the amount of min(M,N) bits, where M and N denote the number of transmit and receive antennas, respectively. A simple expression for the moment generating function (MGF) of the mutual information pdf is also provided, based on which we establish normality of the pdf, when both M and N are large, and the SNR is large.