¢ Shannon's information theory allows to determine an asymptote of the channel information rate for a signal impaired by additive white Gaussian noise ⢠Determining the limiting information rate
We present nonlinear fiber capacity estimate calculations for various types of single-mode fibers and introduce an analytic formula that closely matches simulations.
Optical networks are the backbone of our information society and the single-mode optical fibre is its transmission medium.
The instantaneous optical Kerr effect in optical fibers is a nonlinear phenomenon that imposes limits on the ability of fiber-optic communication systems to transport information.
We describe a method to estimate the capacity limit of fiber-optic communication systems (or "fiber channels") based on information theory. The paper is divided into two parts.
The behavior of training-based multiple-input multiple-output wireless communications over correlated channels is studied in the low signal-to-noise ratio (SNR) regime from an energy efficiency per
In information theory the symmetric binary channel is the classical model of a noisy binary channel.
We characterize the input covariance that maximizes the ergodic capacity of a flat-fading, multiple-input-multiple-output (MIMO) channel with additive white Gaussian noise, when the entries of the
We analyze a mobile wireless link comprising M transmitter and N receiver antennas operating in a Rayleigh flat-fading environment.
We analyze the capacity of a multiple-antenna wireless link with M antennas at the transmitter and N antennas at the receiver in a Rician fading channel when the channel is unknown at both the tran
