The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

Semantic-and task-oriented communication has emerged as a promising approach to
reducing the latency and bandwidth requirements of the next-generation mobile networks by …

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 …

Wireless Sensor Networks (WSN) are characterized by the dense deployment of sensor
nodes that continuously observe physical phenomenon. Due to high density in the network …

This article describes a very different approach to the decentralized compression of
networked data. Considering a particularly salient aspect of this struggle that revolves …

Recent results show that a relatively small number of random projections of a signal can
contain most of its salient information. It follows that if a signal is compressible in some …

Wireless Sensor Networks (WSN) are mainly characterized by dense deployment of sensor
nodes which collectively transmit information about sensed events to the sink. Due to the …

Cooperative communications have been proposed to exploit the spatial diversity gains
inherent in multiuser wireless systems without the need of multiple antennas at each node …

Compressive Sampling is an emerging theory that is based on the fact that a relatively small
number of random projections of a signal can contain most of its salient information. In this …

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 …