… to compute the transmission capacity for a general class of channel models by effectively …
in [1] where the transmission capacity for a path loss channel model is obtained by inverting …

… a channel modeled by a Gauss–Markov process, measured by a pilot tone. We relate the rate
of time variation of the channel to … the effect of time variations upon the channel error for a …

… ,” where the channel varies statistically but with a rate of variation substantially smaller than
the signaling period, so that by use of a relatively short training sequence the channel state …

… Channel variation is a function of the cavity occupant motion, which is difficult to model … the
slow channel variation is proposed, which leads to an improved estimate of the channel state. …

… channel capacity in various types of wireless networks. We finally cover the future research
directions, including less explored aspects of the channel capacity … the channel variations. In …

… channel capacity with the capacity of an additive white Gaussian noise (AWGN) channel and
2) the Rayleigh channel capacity for … We assume that the channel changes at a rate much …

… It increases as the channel time variation becomes faster. In … variation of the channel in
order to adapt the number and distribution of the pilot symbols aiming at maximizing the capacity. …

… path is negligible compared to the rate of the channel variation. … that variation of γ is sent
back to the transmitter via an error-fee feedback path. Comparing to the rate of channel variation…

… -term channel variations are not effectively characterized, then we run the risk of transmitting
… discussion on quantification of the variations in the channel and briefly outline some …

… capacity of MIMO wireless channels with particular emphasis on the case of high SNR scenario
where the MIMO channel capacity … cases: 1- channel capacity variations due to MC effect …