An Overview of Resource Management Technology of 6G Integrated Communication, Sensing, and Computation Enabled Satellite-Terrestrial Intelligent Network

WU Yanyan; WU Song; DENG Wei

doi:10.11999/JEIT250140

Volume 47 Issue 8

Aug. 2025

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Article Navigation > Journal of Electronics & Information Technology > 2025 > 47(8): 2448-2472

WU Yanyan, WU Song, DENG Wei. An Overview of Resource Management Technology of 6G Integrated Communication, Sensing, and Computation Enabled Satellite-Terrestrial Intelligent Network[J]. Journal of Electronics & Information Technology, 2025, 47(8): 2448-2472. doi: 10.11999/JEIT250140

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WU Yanyan, WU Song, DENG Wei. An Overview of Resource Management Technology of 6G Integrated Communication, Sensing, and Computation Enabled Satellite-Terrestrial Intelligent Network[J]. Journal of Electronics & Information Technology, 2025, 47(8): 2448-2472. doi: 10.11999/JEIT250140

Citation:

WU Yanyan, WU Song, DENG Wei. An Overview of Resource Management Technology of 6G Integrated Communication, Sensing, and Computation Enabled Satellite-Terrestrial Intelligent Network[J]. Journal of Electronics & Information Technology, 2025, 47(8): 2448-2472. doi: 10.11999/JEIT250140

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An Overview of Resource Management Technology of 6G Integrated Communication, Sensing, and Computation Enabled Satellite-Terrestrial Intelligent Network

doi: 10.11999/JEIT250140 cstr: 32379.14.JEIT250140

China Mobile Research Institute, Beijing 100053, China

Received Date: 2025-03-10
Rev Recd Date: 2025-07-17

Available Online: 2025-07-24

Publish Date: 2025-08-27

Abstract

Abstract

Significance As 6G mobile communication systems continue to evolve, Integrated Communication, Sensing, and Computation (ICSC) technology has emerged as a key area of research. ICSC not only improves network performance but also meets increasingly diverse and personalized user requirements. Recent progress in spectrum sharing, high-precision sensing algorithms, dynamic computing resource scheduling, and Artificial Intelligence (AI) has supported the development of 6G networks. However, several challenges remain. These include inefficient spectrum utilization, limited accuracy and real-time performance of sensing algorithms, and insufficient adaptability and intelligence in computing resource scheduling strategies. Moreover, integrating these technologies into the 6G ICSC Enabled Satellite-Terrestrial Intelligent Network (6G-ICSC-STIN) for effective resource management and optimal allocation is an unresolved issue. To address demands for high bandwidth, low latency, and wide coverage in future networks, a distributed intelligent resource management strategy is designed. Based on this approach, a resource management framework combining game theory and multi-agent reinforcement learning is proposed, offering guidance for advancing resource management in 6G-ICSC-STIN systems. Progress This paper provides a comprehensive discussion of resource management technologies for 6G ICSC Enabled Satellite–Terrestrial Intelligent Networks (6G-ICSC-STIN). It summarizes key technological advances driving the field and presents recent progress in four core areas: spectrum sharing, high-precision sensing algorithms, dynamic computing resource scheduling, and the application of AI in ICSC systems. Measurement indicators for ICSC performance are also examined. Based on this review, a 6G-ICSC-STIN architecture is proposed (Fig. 2), integrating 6G communication, sensing, computation, and intelligent coordination technologies. This architecture fully leverages the capabilities of satellites, unmanned aerial vehicles, High-Altitude Platforms (HAPs), and ground terminals to enable seamless and full-domain coverage across space, air, ground, and sea. It supports deep integration of communication, sensing, computation, intelligence, and security, resulting in a unified network system characterized by more precise perception and transmission, improved resource coordination, lower system overhead, and enhanced user experience. To address complex resource management challenges, a functional block diagram comprising the application, service, capability, and resource layers is introduced (Fig. 3), aiming to identify new approaches for efficient resource allocation. A distributed intelligent resource management strategy is further proposed for the ICSC central, fog node, edge networks and terminal (Fig. 4). Within the integrated edge network, a novel “Master–Slave two-level edge node” architecture is designed, in which the Master node deploys a resource demand prediction model to estimate regional demand in real time (Fig. 6). Building on this strategy, a resource management framework based on game theory and multi-agent reinforcement learning is proposed (Fig. 5). This framework employs the Nash-Equilibrium Asynchronous Advantage Actor-Critic (Nash-E-A3C) algorithm, adopts a parallelized multi-agent and distributed computing approach, and integrates Nash equilibrium theory (Fig. 7), with the aim of achieving intelligent, collaborative, and efficient network resource management. Conclusions The distributed intelligent resource management strategy is essential for achieving efficient resource coordination and optimal utilization in the 6G-ICSC-STIN architecture. By decentralizing computing, storage, and communication resources across network nodes, it enables resource sharing and collaborative operation. The proposed architecture, grounded in game theory and multi-agent reinforcement learning, supports dynamic resource allocation and optimization. Agents are deployed at each node, where they make decisions based on local demands and environmental conditions using game-theoretic reasoning and Reinforcement Learning (RL) algorithms. This approach enables globally efficient resource management across the network. Prospects Cross-domain technological integration is fundamental to the realization of 6G-ICSC-STIN. Deep integration of sensing, communication, and computing capabilities can substantially enhance overall network performance and efficiency. However, this integration faces several challenges, including heterogeneous network compatibility, complex resource scheduling, fragmented security mechanisms, and slow progress in standardization. Efficient resource representation is critical for effective resource management and performance optimization. Existing studies show that resources in satellite-terrestrial integrated networks are heterogeneous, multidimensional, and unevenly distributed across large spatiotemporal scales, posing new challenges to resource coordination. This paper outlines future development trends in intelligent resource management for 6G-ICSC-STIN, synthesizing current research progress, key challenges, and future directions in cross-domain technology fusion and resource representation. These emerging technologies together form a foundation for intelligent and efficient resource management in 6G-ICSC-STIN and offer new pathways for the advancement of next-generation wireless communication systems.
- 6G,
- Network architecture,
- Integrated communication, sensing, and computation enabled satellite-terrestrial network,
- Resource management

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