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1.北京邮电大学信息与通信工程学院,北京 100876
2.中国科学院计算机网络信息中心,北京 100080
3.中国电信股份有限公司研究院,北京 102209
4.中国信息通信研究院,北京 100191
[ "孙一豪(1999- ),男,北京邮电大学信息与通信工程学院博士生,主要研究方向为6G、智简网络等。" ]
[ "蒋胜(1978− ),男,博士,北京邮电大学信息与通信工程学院教授,主要研究方向为6G、智简网络、语义通信、计算机网络(数据通信网络)、互联网协议(TCP/IP)创新及相关国际、国内标准等。" ]
[ "周旭(1976- ),男,博士,中国科学院计算机网络信息中心研究员、先进网络与技术发展部主任,主要研究方向为未来网络架构、5G、边缘计算等。" ]
[ "雷波(1980- ),男,中国电信股份有限公司研究院网络技术研究所副所长、正高级工程师,主要研究方向为未来网络、云网融合、算力网络、新型IP网络技术等。" ]
[ "蒋林涛(1946- ),男,中国信息通信研究院科学技术委员会主任,主要研究方向为多媒体技术、数据通信网、IP 网络技术的标准研究和系统开发等。" ]
收稿日期:2025-04-25,
修回日期:2025-06-05,
纸质出版日期:2025-07-20
移动端阅览
孙一豪,蒋胜,周旭等.语义通信加速网络和信息处理融合[J].电信科学,2025,41(07):30-44.
SUN Yihao,JIANG Sheng,ZHOU Xu,et al.Semantic communication accelerates the integration of network and information processing[J].Telecommunications Science,2025,41(07):30-44.
孙一豪,蒋胜,周旭等.语义通信加速网络和信息处理融合[J].电信科学,2025,41(07):30-44. DOI: 10.11959/j.issn.1000-0801.2025146.
SUN Yihao,JIANG Sheng,ZHOU Xu,et al.Semantic communication accelerates the integration of network and information processing[J].Telecommunications Science,2025,41(07):30-44. DOI: 10.11959/j.issn.1000-0801.2025146.
语义通信作为一种新的通信范式,能够差异化提取和传输与任务相关的语义信息,提升网络效率。然而,语义通信要求网络主动参与信息处理,提供计算与存储资源的支撑,同时需要网络具备感知信息重要性和自身资源情况的能力。探讨了网络与信息处理融合的发展路径。首先,介绍了网络能力的演进以及语义通信的发展历程。然后,从3个方面分析了网络如何从单纯的数据传输管道向信息处理平台转型:一是面向任务的语义通信能够智能地根据任务需求提取语义信息;二是网络通过调度云边端资源为语义通信模型的训练、存储和推理提供支持;三是网络与语义通信的协同演进,促使语义通信能够理解网络状态,网络则具备智能响应语义通信需求的能力。最后,介绍了网络与信息处理融合的典型应用场景。
As a new communication paradigm
semantic communication can differentiately extract and transmit task-related semantic information to improve network efficiency. However
semantic communication requires the network to actively participate in information processing
provide computing and storage resources
and at the same time requires the network to have the ability to perceive the importance of information and its own resource conditions. The development path of the integration of network and information processing was discussed. Fisrtly
the evolution of network capabilities and the development history of semantic communication were introduced. Then
how the network transformed from a simple data transmission pipeline to an information processing platform was analyzed from three aspects: firstly
task-oriented semantic communication can extract semantic information according to intelligent task requirements; secondly
the network supports the training
storage and reasoning of semantic communication models by scheduling cloud-edge resources; thirdly
the coordinated evolution of network and semantic communication enables semantic communication to understand the network status
and the network has the ability to intelligently respond to needs of semantic communication. Finally
typical application scenarios of the integration of network and information processing were introduced.
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