面向全息通信的智算融合网络

陈佳; 刘上; 郜帅; 黄旭; 张宏科

doi:10.12263/DZXB.20240512

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面向全息通信的智算融合网络

学术论文 | 更新时间：2025-12-08

- 面向全息通信的智算融合网络
- Smart Computing Integration Network for Holographic Communication
- 电子学报 2025年53卷第3期页码：754-764
- 作者机构：
  
  北京交通大学电子信息工程学院，北京 100044
- 作者简介：
  
  [ "陈佳女，1983年出生.北京交通大学电子信息工程学院教授、博士生导师.主要研究方向为未来信息网络体系架构及关键技术、面向全息通信的资源适配研究、在网计算技术等.E-mail: chenjia@bjtu.edu.cn" ]
  [ "刘上男，1999 年 3 月出生.北京交通大学博士研究生.主要研究方向为全息通信网络架构及在网计算技术.E-mail: 22115009@bjtu.edu.cn" ]
  [ "郜帅男，1980年8月出生. 北京交通大学电子信息工程学院教授、博士生导师.目前主要研究方向为新一代信息网络关键理论与技术.主持和参与多项国家973、863、国家自然科学基金项目.中国电子学会会员编号：E190091752M.E-mail: shgao@bjtu.edu.cn" ]
  [ "黄旭男，1999 年 3 月出生. 北京交通大学博士研究生.主要研究方向为确定性网络与全息通信网络.E-mail: 21111024@bjtu.edu.cn" ]
  [ "张宏科男，1957年9月出生. 中国工程院院士.北京交通大学电子信息工程学院教授、博士生导师.移动专用网络国家工程研究中心主任.主要研究方向为新一代信息网络理论与关键技术.中国电子学会会员编号：E190004689S.E-mail: hkzhang@bjtu.edu.cn" ]
- 基金信息：
  
  国家重点研发计划(2023YFB2904400);国家自然科学基金(62394321;62072030;92167204);中央高校基本科研业务费(2023JBGP003)
- DOI：10.12263/DZXB.20240512
  中图分类号： TN913.21;
- 收稿：2024-06-03，
  
  修回：2024-08-29，
  
  纸质出版：2025-03-25
- 稿件说明：
移动端阅览
陈佳, 刘上, 郜帅, 等. 面向全息通信的智算融合网络[J]. 电子学报, 2025, 53(03): 754-764.

CHEN Jia, LIU Shang, GAO Shuai, et al. Smart Computing Integration Network for Holographic Communication[J]. Acta Electronica Sinica, 2025, 53(03): 754-764.
陈佳, 刘上, 郜帅, 等. 面向全息通信的智算融合网络[J]. 电子学报, 2025, 53(03): 754-764. DOI：10.12263/DZXB.20240512

CHEN Jia, LIU Shang, GAO Shuai, et al. Smart Computing Integration Network for Holographic Communication[J]. Acta Electronica Sinica, 2025, 53(03): 754-764. DOI：10.12263/DZXB.20240512

摘要

随着全息技术的发展，全息通信在教育、娱乐和医疗等多个领域展现出广泛的应用前景.然而，现有的网络资源调度方法难以满足全息通信大带宽、低时延和数据同步的传输需求.智算融合网络具有原生的网内计算（in-network computing）能力，可以在数据包传输中对数据进行计算和优化，从而减少传输时延和网络带宽压力.本文根据前期的智融标识网络技术，研究面向全息通信的智算融合网络，提出基于业务标识、资源链标识、网络功能标识和网络组件标识的标识映射方法，实现全息业务到计算、存储和转发等多样化资源的自适应调度.基于标识映射方法，本文进一步设计了全息通信智算融合网络系统.实验结果表明，与传统边缘计算方法相比，面向全息通信的智算融合网络能够降低全息通信业务60%的网络带宽压力和45%的传输时延，同时提供更灵活的网络资源调度能力.

Abstract

With the development of holographic technology

holographic communication shows a wide range of application prospects in many fields such as education

entertainment and medical care. However

the existing network resource scheduling method is difficult to meet the transmission requirements of holographic communication with large bandwidth

low latency and data synchronization. Smart computing integration network has native in-network computing capability. This allows for computation and optimization of data during packet transmission

thereby reducing transmission latency and network bandwidth pressure. Extends the work from the initial Smart Integration Identifier Network technology

exploring a smart computing integration network for holographic communication. It introduces an identifier mapping method based on service identifiers

resource chain identifiers

network function identifiers

and network component identifiers

enabling adaptive scheduling of holographic services to diverse resources such as computing

storage

and forwarding. Based on the identifier mapping method

this paper further designs a holographic communication smart computing integration network system. Experimental results show that

compared to traditional edge computing methods

the smart computing integration network can reduce the network bandwidth pressure by 60% and transmission latency by 45% for holographic communication services

while also offering more flexible network resource scheduling capabilities.

关键词

Keywords

references

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