The Fading Number of Multiple-Input Multiple-Output Fading Channels With Memory
The fading number of a general (not necessarily Gaussian) regular multiple-input multiple-output (MIMO) fading channel with arbitrary temporal and spatial memory is derived. The channel is assumed to be noncoherent, i.e., neither receiver nor transmitter have knowledge about the channel state, but they only know the probability law of the fading process. The fading number is the second term in the asymptotic expansion of channel capacity when the signal-to-noise ratio (SNR) tends to infinity. It is related to the border of the high-SNR region with double-logarithmic capacity growth. It is shown that the fading number can be achieved by an input that is the product of two independent processes: a stationary and circularly symmetric direction- (or unit-) vector process whose distribution is chosen such that the fading number is maximized, and a nonnegative magnitude process that is independent and identically distributed (i.i.d.) and escapes to infinity. Additionally, in the more general context of an arbitrary stationary channel model satisfying some weak conditions on the channel law, it is shown that there exists an optimal input distribution that is stationary apart from some edge effects.
fading number memory channel capacity escaping to infinity circular symmetry flat fading high signal-to-noise ratio (snr) multiple-input multiple-ouput (mimo) noncoherent detection stationary input distribution