Incentive-based task offloading for digital twins in 6G native artificial intelligence networks: a learning approach
Special Issue on Artificial-Intelligence-Empowered Digital-Twin-Based Network Autonomy|Updated:2025-03-13
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Incentive-based task offloading for digital twins in 6G native artificial intelligence networks: a learning approach
6G内生AI网络中基于激励的数字孪生任务卸载:一种基于学习的方法
“In the realm of communication networks, a new study introduces its research progress in the field of AI training services for digital twins. Expert xx established the Stackelberg game system, which provides solutions to solve the problem of AI training task offloading in native AI networks, laying a foundation for the construction of high-level network autonomy.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 2, Pages: 214-229(2025)
Affiliations:
1.China Mobile Research Institute, Beijing 100053, China
2.ZGC Institute of Ubiquitous-X Innovation and Applications, Beijing 100080, China
3.China Mobile Communications Group Corporation, Beijing 100032, China
4.School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Tianjiao CHEN, Xiaoyun WANG, Meihui HUA, et al. Incentive-based task offloading for digital twins in 6G native artificial intelligence networks: a learning approach[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(2): 214-229.
DOI:
Tianjiao CHEN, Xiaoyun WANG, Meihui HUA, et al. Incentive-based task offloading for digital twins in 6G native artificial intelligence networks: a learning approach[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(2): 214-229. DOI: 10.1631/FITEE.2400240.
Incentive-based task offloading for digital twins in 6G native artificial intelligence networks: a learning approach
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