6G communication-computing-intelligence convergence empowering embodied intelligence applications

doi:10.12267/j.issn.2096-5931.2026.09.004

Abstract

Abstract:

Currently, the large-scale application of embodied intelligence still faces three key bottlenecks: limited on-device computing capacity, short battery endurance, and prohibitive hardware costs. Although the current 5G-Advanced (5G-A) edge computing achieves basic connectivity-computation integration, edge resources are implemented as add-on components, yielding loose coupling of communication and computing resources and poor AI-service quality in dynamic radio channels. To address these limitations, this paper develops a 6G communication-computing-intelligence converged network architecture for embodied intelligence use cases, where communication, computing, data and model resources are placed under native network orchestration. The effectiveness of this approach is validated through a prototype system demonstrating device-edge synergy. Finally, the paper further analyzes the enabling role of 6G’s communication-computing-intelligence convergence in driving the evolution of embodied intelligence applications.

Key words: 6G, communication-computing-intelligence convergence, embodied intelligence, quality of AI service, device-edge collaboration

CLC Number:

TN929.5

LIU Guangyi, HE Zhimin, WANG Xinyao, CAI Qing, WANG Kaiyue, CHEN Tianjiao, JIN Jing. 6G communication-computing-intelligence convergence empowering embodied intelligence applications[J]. Information and Communications Technology and Policy, 2026, 52(9): 29-37.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2026.09.004

http://ictp.caict.ac.cn/EN/Y2026/V52/I9/29

Figures/Tables 3

References 14

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