We calculate the capacity of fiber-optic communication systems limited in transmission by the instantaneous Kerr nonlinearity in fibers.
In this paper, we attack a general form of the classical problem of determining the capacity of a linear channel with additive noise.
In this paper, we present a general method for determining the capacity of message-passing decoders applied to low density parity check codes used over any binary-input memoryless channel with disc
A Fabry-Perot interferometer with curved mirrors can he used as an optical delay line by inserting a laser beam through a small center hole in one mirror.
As an idealized model for the time-continuous Gaussian channel (with bandwidth W cycles per second, two-sided noise spectral density Na/2, and average power P,,), Shannon1,2 employed the mathematic
We find the capacity of discrete-time channels subject to both frequency-selective and time-selective fading, where the channel output is observed in additive Gaussian noise.
When Shannon first showed that feedback could not increase the capacity of a memoryless channel, he mentioned that the capacity could be increased when the channel had memory.1 One example of such
Due to a poor understanding of the interactions among transmitters, wireless multihop networks have commonly been stigmatized as unpredictable in nature.
We study the scaling of the capacity per unit energy of a wireless network as a function of the number of nodes and the deployment area.
A finite set of inequalities is given that characterizes the routing rate region for an undirected ring network in which the source and destination vertices of each communication session form a str
