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

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

By transmitting task-related information only, semantic communications yield significant
performance gains over conventional communications. However, the lack of mature …

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

In this paper, a semantic communication framework is proposed for textual data
transmission. In the studied model, a base station (BS) extracts the semantic information …

In this paper, a semantic communication framework is proposed for wireless networks. In the
proposed framework, a base station (BS) extracts the semantic information from textual data …

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

As a new communication paradigm, neural network-driven semantic communication
(SemCom) has demonstrated considerable promise in enhancing resource efficiency by …

Semantic communication, as a new paradigm for next-generation communication, aims to
transmit semantic symbols for artificial intelligence (AI) tasks. Existing research typically …

Deep learning enabled semantic communication has been studied to improve
communication efficiency while guaranteeing intelligent task performance. Different from …