Semantic communication (SemCom) has received considerable attention for its ability to
reduce data transmission size while maintaining task performance. However, existing works …

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

Joint source and channel coding (JSCC) has attracted increasing attention in semantic
communications. However, JSCC is vulnerable to privacy issues due to the high relevance …

Deep joint source-channel coding (DeepJSCC) has emerged as a novel technology in
semantic communication, coinciding with the increasing demand for edge devices in the …

Joint source–channel coding (JSCC) based on deep learning has shown significant
advancements in image transmission tasks. However, previous channel-adaptive JSCC …

Achieving efficient point cloud (PC) transmission is a fundamental requirement for immersive
holographic-type communication. However, traditional optical fiber communication (TOFC) …

In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC)
framework for image transmission, utilizing a hierarchical variational autoencoder (VAE) …

Recent studies in joint source-channel coding (JSCC) have fostered a fresh paradigm in end-
to-end semantic communication. Despite notable performance achievements, present …

In the rapidly evolving landscape of the metaverse, efficiently managing and processing vast
amounts of data is a critical challenge. This paper introduces a novel data management …

Semantic communication has undergone considerable evolution due to the recent rapid
development of artificial intelligence (AI), significantly enhancing both communication …