… much richer semantics, the design of multimedia semantic communication system is crucial.
Inspired by these factors, this work designs a GANsbased semantic communication system …

… individual signal processing block by a deep neural network (DNN) [13]. … ) communication
system has been proposed to merge the signal processing blocks in traditional communication …

… Although SemProtector is tested on an image-based semantic communication system,
we believe that our framework can also be further extended to video-based SC systems. …

… , an overview of the latest deep learning (DL) and end-to-end (E2E) communication based
… only physical channel noise, but also semantic noise in a semantic communication system. …

… -driven E2E communication is a key factor in enabling semantic communication systems (…
driven PHY for E2E communication system, and their enabling semantic applications across …

… of semantic communication systems based on deep learning are proposed. Authors in [15]
propose a deep learning based semantic communication system, named DeepSC, for text …

… There also exist studies in regard to semantic communication system [11, 15,16,17,18,19,20,21,22,…
The authors in [18] have designed a Deep Learning (DL) based system for semantic …

… communication systems aiming to provide high data rates and a low symbol/bit error rate,
SemCom extracts the meaning of the transmitter’s message and interprets the semantic …

… communication systems but also attack machine learning (ML) models used for semantic
information extraction since most of semantic … secure semantic communication systems over …

… to five years when machine learning-based calculation… semantic communication system,
we provide some examples on the sentence-based model in Table 1. The same neural network …