信号处理2025，Vol.41Issue(6)：993-1014,22.DOI:10.12466/xhcl.2025.06.002
大模型使能的语义通信研究现状与发展趋势
Research Status and Development Trends in Foundation Model-Enabled Semantic Communication
摘要
Abstract
With the rapid advancement of communication technologies and emerging scenarios,future wireless com-munication networks will face increasingly complex demands,including ubiquitous connectivity,high speed,high re-liability,and intelligence.Simultaneously,the surge in data traffic and bandwidth requirements presents significant challenges to communication networks in new contexts.As a cutting-edge technology,semantic communication uti-lizes neural networks to extract and transmit the semantic information of data.This approach significantly reduces bandwidth requirements while enhancing transmission quality.Recently,foundation models have emerged,demon-strating powerful feature extraction and comprehension capabilities,which provide notable advantages in expressive power and predictive performance.Compared to traditional networks,foundation models possess broader application potential by effectively managing multimodal information and complex data.This paper reviews the current research and development trends of foundation model-enabled semantic communication,focusing on its applications in seman-tic encoding and decoding,as well as physical and network layer design,and practical deployment.First,we intro-duce the basic concepts of semantic communication,outlining its fundamental structure and distinguishing it from tra-ditional communication schemes.An overview of semantic communication technologies based on foundation models follows.Next,we analyze the performance of foundation models and traditional neural networks in semantic commu-nication from the perspectives of semantic encoding and decoding,physical layer design,and network layer imple-mentation.This analysis highlights the potential of foundation models to improve communication accuracy,effi-ciency,and robustness.Finally,the paper summarizes future directions and challenges related to foundation models in communication,addressing issues such as model training,customization,and practical deployment.It also ex-plores new strategies to tackle challenges including the acquisition and synchronization of training data,computa-tional resource management,and hardware power consumption.These efforts aim to promote further application and development of foundation models in semantic communication.关键词
语义通信/大模型/物理层/网络层/原型验证Key words
semantic communication/foundation model/physical layer/network layer/prototype validation分类
信息技术与安全科学引用本文复制引用
刘方彧,丁家润,冯禹硕,姜培文,李潇,金石..大模型使能的语义通信研究现状与发展趋势[J].信号处理,2025,41(6):993-1014,22.基金项目
国家重点研发计划(2024YFE0200700) （2024YFE0200700）
江苏省重点研发计划(产业前瞻与关键核心技术)项目(BE2023022-1,BE2023022) （产业前瞻与关键核心技术）
国家自然科学基金委员会国际(地区)合作研究项目(62261160576) （地区）
国家自然科学基金(623B2020) The National Key R&D Program of China(2024YFE0200700) （623B2020）
The Key Technologies R&D Program of Jiangsu(Prospective and Key Technologies for Industry)(BE2023022-1,BE2023022) （Prospective and Key Technologies for Industry）
The International(Regional)Cooperative Research Project of the National Natural Science Foundation of China(62261160576) （Regional）
The National Natural Science Foundation of China(623B2020) （623B2020）
