Publications

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

The capacity region of a wireless network with $n$ nodes is the set of all simultaneously achievable rates between all possible $n^2$ node pairs.

A precise matrix characterization of the capacity-equivocation region of the multiple-input multiple-output (MIMO) Gaussian wiretap channel is established.