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Cloud–Edge Collaborative Computing and Resource Scheduling for the 6G Space–Air–Ground Consumer Electronics Internet

Research output: Contribution to specialist publicationArticle

1 Scopus citations

Abstract

With the extensive application of extended reality (XR), intelligent terminals, and the Internet of Vehicles (IoV) to remote areas and disaster regions, immersive consumer electronic applications are driving the demand for global deployment of computing power and low-latency services. To address this challenge, we propose a “cloud center-space edge-air edge-ground terminal” four-layer collaborative computing architecture. We design an intent-driven dynamic resource scheduling mechanism, which directly perceives the quality-of-service requirements of applications through “business intent descriptors.” We develop an intelligent computing-aware routing protocol and autonomous offloading decision algorithm to achieve intelligent collaboration of tasks at the terminals, edge nodes, and the cloud. Then, we analyze key enabling technologies such as on-orbit edge computing of satellites and integrated communication-sensing-computing. Simulation results show that the proposed system and mechanisms can significantly enhance the user experience in scenarios such as XR, IoV and smart homes and address challenges such as global coverage and resource scheduling. Finally, we explore solutions to address issues such as dynamic spectrum sharing, communication energy consumption, battery life, protocol standardization, mobility management, and actual deployment. These solutions enable the upgrade of next-generation Internet of consumer electronics.

Original languageEnglish
Pages70-83
Number of pages14
Volume15
No4
Specialist publicationIEEE Consumer Electronics Magazine
DOIs
StatePublished - Jul 1 2026

Bibliographical note

Publisher Copyright:
© 2025 IEEE. All rights reserved.

Funding

We thank the reviewers who helped us improve the content, organization, and presentation of this article. This work was supported in part by the Fundamental Research Funds for the Central Universities under Grant 2024YJS112 and the National Natural Science Foundation of China under Grant 62173026. Zhenjiang Zhang (zhangzhenjiang@bjtu. edu.cn) is the corresponding author for this article.

FundersFunder number
Fundamental Research Funds for the Central Universities2024YJS112
National Natural Science Foundation of China (NSFC)62173026

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Hardware and Architecture
    • Computer Science Applications
    • Electrical and Electronic Engineering

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