Semantic communication accelerates the integration of network and information processing

SUN Yihao; JIANG Sheng; ZHOU Xu; LEI Bo; JIANG Lintao

doi:10.11959/j.issn.1000-0801.2025146

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Semantic communication accelerates the integration of network and information processing

Research and Development | 更新时间：2025-08-07

- Semantic communication accelerates the integration of network and information processing
- Telecommunications Science Vol. 41, Issue 7, Pages: 30-44(2025)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2025146
  CLC： TP393
- Received：25 April 2025，
  
  Revised：2025-06-05，
  
  Published：20 July 2025
- 稿件说明：
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.

摘要

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。

Abstract

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.

关键词

Keywords

references

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