We propose deep learning based communication methods for adaptive-bandwidth
transmission of images over wireless channels. We consider the scenario in which images …

Coding strategies that exploit node cooperation are developed for relay networks. Two basic
schemes are studied: the relays decode-and-forward the source message to the destination …

The problem of reliably reconstructing a function of sources over a multiple-access channel
(MAC) is considered. It is shown that there is no source–channel separation theorem even …

What makes a source-channel communication system optimal? It is shown that in order to
achieve an optimal cost-distortion tradeoff, the source and the channel have to be matched …

A single memoryless Gaussian source is observed by many terminals, subject to
independent Gaussian observation noises. The terminals are linked to a fusion center via a …

Sensors acquire data, and communicate this to an interested party. The arising coding
problem is often split into two parts: First, the sensors compress their respective acquired …

The Internet of Things (IoT) integrates a large number of physical objects that are uniquely
identified, ubiquitously interconnected and accessible through the Internet. IoT aims to …

The capacity of a particular large Gaussian relay network is determined in the limit as the
number of relays tends to infinity. Upper bounds are derived from cut-set arguments, and …

A discrete denoising algorithm estimates the input sequence to a discrete memoryless
channel (DMC) based on the observation of the entire output sequence. For the case in …

We explore the information-theoretic duality between source coding with side information at
the decoder and channel coding with side information at the encoder. We begin with a …