Task-oriented communication is a new paradigm that aims at providing efficient connectivity
for accomplishing intelligent tasks rather than reception of every transmitted bit. This paper …

Task-oriented semantic communication (TOSC) has significant advantages in reducing the
amount of data transmission and alleviating the scarcity of spectrum resources. Unlike …

In this paper, we present a probability graph-based semantic information compression
system for scenarios where the base station (BS) and the user share common background …

Semantic communication has been regarded as a promising technology to serve upcoming
intelligent applications. However, few studies have addressed the problem of resource …

The task-oriented semantic communication sys-tems have achieved significant performance
gain, however, the paradigm that employs a model for a specific task might be limited, since …

Standard digital communication techniques allow us to set aside the meaning of the
messages to concentrate on the transmission of bits efficiently and reliably. However, with …

This letter proposes a semantic importance-aware communication (SIAC) scheme using pre-
trained language models (eg, ChatGPT, BERT, etc.). Specifically, we propose a cross-layer …

In this paper, we propose an adaptive semantic resource allocation paradigm with semantic-
bit quantization (SBQ) compatible with existing wireless communications, where the …

With the aim of accomplishing intelligence tasks, semantic communications transmit task-
related information only, yielding significant performance gains over conventional …

Task-oriented semantic communications have achieved significant performance gains.
However, the employed deep neural networks in semantic communications have to be …