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 …

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

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

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

Joint source and channel coding (JSCC) has attracted increasing attention due to its
robustness and high efficiency. However, JSCC is vulnerable to privacy leakage due to the …

Current privacy-aware joint source-channel coding (JSCC) works aim at avoiding private
information transmission by adversarially training the JSCC encoder and decoder under …

Task-oriented semantic communications (TSC) enhance radio resource efficiency by
transmitting task-relevant semantic information. However, current research often overlooks …

Current image coding methods for semantic communication typically concentrate on
intelligent tasks or image reconstruction separately, and seldom consider both aspects …