阐述了语义通信的基本原理与实现方法. 首先, 提出了语义通信的系统模型, 梳理语义通信的基本
概念与术语, 对比经典通信与语义通信的主要区别, 总结了语义通信的技术优势. 在此基础上 …

Autonomous Vehicles (AVs), furnished with sensors capable of capturing essential vehicle
dynamics such as speed, acceleration, and precise location, possess the capacity to …

The emergence of 6G and beyond networks is set to enable a range of novel services such
as personalized highly immersive experiences, holographic teleportation, and human-like …

A digital twin (DT) leverages a virtual representation of the physical world, along with
communication (eg, 6G), computing (eg, edge computing), and artificial intelligence (AI) …

Semantic communication (SemCom) has gained significant attention to extracting and
delivering semantic information based on transceivers' background knowledge. While …

Deep Neural Network (DNN) splitting is one of the key enablers of edge Artificial Intelligence
(AI), as it allows end users to pre-process data and offload part of the computational burden …

The interconnected smart devices and industrial internet of things devices require low-
latency communication to fulfill control objectives despite limited resources. In essence, such …

As a competitive technology for 6G, semantic communications can significantly improve
transmission efficiency. However, many existing semantic communication systems require …

Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

Dans un schémas de communication classique, le récepteur essaie de reconstituer une
version la plus proche possible des données que l'émetteur souhaite lui transmettre. L'écart …