This paper studies methods of quantitatively measuring semantic information in
communication. We review existing work on quantifying semantic information, then …

The last 70 years have witnessed the transition of communication from Shannon's
theoretical concept to current high-efficiency practical systems. Classical communication …

Semantic communication, regarded as the breakthrough beyond the Shannon paradigm,
aims at the successful transmission of semantic information conveyed by the source rather …

In pervasive computing and sensing applications, a multitude of devices such as sensors
and processors (that perform fusion) serve as rich sources of data and information over long …

Classical communication paradigms focus on accurately transmitting bits over a noisy
channel, and Shannon theory provides a fundamental theoretical limit on the rate of reliable …

Modern communications are usually designed to pursue a higher bit-level precision and
fewer bits while transmitting a message. This article rethinks these two major features and …

Quantum Shannon theory is loosely defined as a collection of coding theorems, such as
classical and quantum source compression, noisy channel coding theorems, entanglement …

We argue that the notions of “symbol” and “symbolic connectivity” can be rigorously
developed both from the point of view of the theoretical literature on the symbol and from the …

In the preceding chapter, we introduced Shannon's measure of information and showed that
it possessed several intuitively pleasing properties. However, we have not yet shown that it …

Semantic communications represent a significant breakthrough with respect to the current
communication paradigm, as they focus on recovering the meaning behind the transmitted …