语义通信：Beyond 5G技术背后的新范式
Semantic Communications: the New Paradigm Behind Beyond 5G Technologies
AI总结：
本综述探讨了Beyond 5G背景下语义通信这一新范式，全面介绍了其基于AI提取传输语义含义的基本概念、理论框架、系统设计、最新实现方案及原型验证，并指出了亟待解决的开放挑战。
摘要：
每一代蜂窝网络都以其独特的能力和创新为特征，反映了每次新版本发布所达成的重大里程碑。5G通过部署先进的编码和调制技术取得了实质性进展，几乎达到了Shannon物理容量极限。鉴于Beyond-5G技术的需求，通信系统的发展需要发生范式转变。人工智能（AI）领域的最新发展使得具有高抽象能力的工具得以部署，这些工具与特征提取过程和端到端系统优化任务相关。在此背景下，语义通信作为一种新型信息传输系统应运而生，AI是其实现的核心组件之一。这种通信范式利用AI技术提取并传输源信息的“语义含义”，有别于主要关注确保成功接收所传输比特的传统系统。本综述旨在全面概述语义通信的基本概念，包括Shannon信息论、经典与现代语义信息理论，以及对语义通信框架和系统设计的考察。此外，回顾了近期的实现方案，包括根据所传输的信息对象和信息传输目标对语义通信系统进行分析。此外，对原型和演示进行了深入研究，以支持语义通信系统的可行性。最后，详细介绍了最相关的开放挑战，突出了语义通信中亟待解决的开放研究问题。
英文摘要：
Each generation of cellular networks is characterized by its distinct capabilities and innovations, which reflect the significant milestones reached with each new release. 5G has made substantial progress through the deployment of advanced encoding and modulation techniques, nearly reaching the Shannon physical capacity limit. In light of the requirements of Beyond-5G technologies, there is the need of a paradigm shift in the development of communication systems. Recent developments in the realm of Artificial Intelligence (AI) have enabled the deployment of tools with high abstraction capabilities, relevant for feature extraction processes and End-to-End system optimization tasks. In this context, Semantic Communications has emerged as a novel information transmission system, with AI as one of the core components in its implementation. This communication paradigm relies on the extraction and transmission of the "semantic meaning" of the source information using AI techniques, diverging from the conventional systems that primarily focus on ensuring the successful reception of the transmitted bits. The purpose of this survey is to provide a comprehensive overview of the fundamental concepts underlying Semantic Communications, including Shannon's Information Theory, classical and modern theories of semantic information, and an examination of the framework and system design of Semantic Communications. Additionally, recent implementations are reviwed, including the analysis of Semantic Communications systems according to the information object transmitted and the objective of the information transmission. Moreover, an in-depth study of prototypes and demonstrations are presented, supporting the viability of the Semantic Communications systems. Finally, some of the most relevant open challenges are detailed, highlighting open research questions to be pursued in Semantic Communications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
