System Architecture and Key Technologies of 6G Integrated Sensing, Communication, and Computing

WU Zijun; ZHANG Haijun; MA XU; REN Yuzheng

doi:10.11999/JEIT241151

Volume 47 Issue 4

Apr. 2025

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WU Zijun, ZHANG Haijun, MA XU, REN Yuzheng. System Architecture and Key Technologies of 6G Integrated Sensing, Communication, and Computing[J]. Journal of Electronics & Information Technology, 2025, 47(4): 876-887. doi: 10.11999/JEIT241151

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WU Zijun, ZHANG Haijun, MA XU, REN Yuzheng. System Architecture and Key Technologies of 6G Integrated Sensing, Communication, and Computing[J]. Journal of Electronics & Information Technology, 2025, 47(4): 876-887. doi: 10.11999/JEIT241151

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System Architecture and Key Technologies of 6G Integrated Sensing, Communication, and Computing

doi: 10.11999/JEIT241151 cstr: 32379.14.JEIT241151

Beijing University of Science and Technology, Beijing 100083, China

Funds: The National Natural Science Foundation of China (62225103 and U22B2003), Beijing Natural Science Foundation (L241008), The Fundamental Research Funds for the Central Universities (FRF-TP-22-002C2), The Postdoctoral Fellowship Program of CPSF (GZB20230057)

Received Date: 2024-12-30
Rev Recd Date: 2025-04-01

Available Online: 2025-04-07

Publish Date: 2025-04-01

Abstract

Abstract

Significance The communication–sensing–computing integrated network, a central direction in the development of Sixth-Generation (6G) mobile communication systems, represents a shift toward intelligent network coordination. This architecture addresses key challenges in secure data transmission, efficient resource allocation, and intelligent network control. These capabilities are essential for supporting emerging applications in an era defined by pervasive connectivity and artificial intelligence. Progress This paper analyzes three key technologies of the communication–sensing–computing integrated network. First, a collaborative architecture integrating communication and sensing is proposed, which combines cloud–fog–edge computing and blockchain technologies to ensure secure data transmission and storage. Second, high-precision sensing and interference management are examined, including adaptive sensing mechanisms based on demand, a dual-layer optimized spectrum-sharing framework, and strategies for mitigating mutual interference in integrated systems. Third, Artificial Intelligence (AI)-driven frameworks for resource allocation are presented, including dynamic strategies for optimization and scheduling, which enhance multi-dimensional resource efficiency and improve network adaptability to support future intelligent, secure, and high-efficiency integrated networks. Conclusions The integrated architecture and methods presented in this paper form the technical foundation of the 6G communication–sensing–computing integrated network. The blockchain-enhanced framework provides robust security, whereas the adaptive sensing mechanisms and interference management strategies enable improved performance in complex network environments. The AI-driven resource allocation framework further enhances network operation by significantly improving resource utilization efficiency and adaptability. Prospects Future research on integrated communication–sensing–computing networks should focus on core technologies such as collaborative mechanisms across communication, sensing, and computing; heterogeneous data processing methods; and intelligent resource scheduling. These technologies are critical for addressing challenges related to resource optimization, interoperability, and dynamic adaptation in complex network environments. Through continued research and technological advancement, next-generation wireless systems aim to realize an efficient, reliable, and intelligent communication–sensing–computing integrated framework for 6G networks.
- Integrated sensing, communication, and computing,
- Resource allocation,
- Interference control,
- Wireless communications

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References(50)

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