通信计算融合无线网络：从云化协同迈向感智协同

彭木根; 姜宁; 闫实

doi:10.11959/j.issn.1000-436x.TXXB260063

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通信计算融合无线网络：从云化协同迈向感智协同

更新时间：2026-04-14

- 通信计算融合无线网络：从云化协同迈向感智协同
- Communication-Computing Integrated Wireless Networks: From Cloud-Based Collaboration to Integrated Sensing and Intelligent Coordination
- 通信学报 2026年
- 作者机构：
  
  1.北京邮电大学网络与交换技术国家重点实验室，北京 100876
  2.低轨星座融合通信与组网技术北京市重点实验室，北京 100876
- 作者简介：
  
  闫实，yanshi01@bupt.edu.cn
- 基金信息：
  
  国家科技重大专项项目(2024ZD1300100);国家自然科学基金资助项目(62371067);北京市自然科学基金项目(L223007)
- DOI：10.11959/j.issn.1000-436x.TXXB260063
  中图分类号： TN929.5
- 收稿：2026-01-26，
  
  修回：2026-04-14，
  
  录用：2026-04-14，
- 稿件说明：
移动端阅览
彭木根, 姜宁, 闫实. 通信计算融合无线网络：从云化协同迈向感智协同[J/OL]. 通信学报, 2026.

Peng Mugen, Jiang Ning, Yan Shi. Communication-Computing Integrated Wireless Networks: From Cloud-Based Collaboration to Integrated Sensing and Intelligent Coordination[J/OL]. Journal on Communications, 2026.
彭木根, 姜宁, 闫实. 通信计算融合无线网络：从云化协同迈向感智协同[J/OL]. 通信学报, 2026. DOI： 10.11959/j.issn.1000-436x.TXXB260063.

Peng Mugen, Jiang Ning, Yan Shi. Communication-Computing Integrated Wireless Networks: From Cloud-Based Collaboration to Integrated Sensing and Intelligent Coordination[J/OL]. Journal on Communications, 2026. DOI： 10.11959/j.issn.1000-436x.TXXB260063.

摘要

为了满足巨容量和极低时延性能需求，通信计算融合无线网络通过分解传统基站功能、构建基带池云化集中协同机制，并逐渐向云-边-端一体化的云化协同演进，实现了资源高效复用、信息实时处理与干扰精准抑制。随着各种新兴应用涌现，通信感知一体和AI内生成为6G重要特征，感知和智能计算（简称感智）协同进一步赋能通信计算融合无线网络云-边-端-业，推动云化协同迈向感智协同。本文系统梳理了云化协同学术研究与产业化进展，重点介绍了组网性能规律、体系架构设计及关键技术；提出了感智协同理论体系和关键技术，阐明了感智协同的性能增益，为6G全域覆盖与极致性能需求提供了支撑。结合典型应用场景，展望了感智协同在低空经济、低轨卫星和空天地一体化等领域的应用。

Abstract

To meet the requirements for massive capacity and ultra-low latency in 6G

the evolution of communication-computing integrated wireless networks from cloud-based collaboration to integrated sensing and intelligent coordination was investigated. The academic research and industrial progress of cloud-based collaboration were systematically summarized

with an emphasis on networking performance

system architecture

and key technologies. Subsequently

a theoretical framework and key technologies for integrated sensing and intelligent coordination were proposed. The resulting performance gains were elaborated

and solid support for achieving global coverage and ultimate performance in 6G was provided. Finally

this paper envisions future applications of integrated sensing and intelligent coordination in typical scenarios

such as the low-altitude economy

low-Earth orbit satellites

and space-air-ground integration.

关键词

Keywords

references

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