Adaptive multi-layer deployment for a digital-twin-empowered satellite-terrestrial integrated network
Special Issue on Artificial-Intelligence-Empowered Digital-Twin-Based Network Autonomy|Updated:2025-03-13
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Adaptive multi-layer deployment for a digital-twin-empowered satellite-terrestrial integrated network
Enhanced Publication
数字孪生驱动的星地融合网络中的自适应多层部署
“In the field of satellite-terrestrial integrated networks, a new STIN model has been proposed to enhance the flexibility of traditional edge network deployment by deploying digital twins in multi-layer nodes. Expert xx adopted a multi-agent reinforcement learning scheme to explore the optimal strategy for multi-layer digital twin deployment, significantly reducing system delay as demonstrated by simulation outcomes.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 2, Pages: 246-259(2025)
Affiliations:
1.Wireless Signal Processing and Network Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China
2.Research Institute of China Telecom Co., Ltd., Beijing 102209, China
Yihong TAO, Bo LEI, Haoyang SHI, et al. Adaptive multi-layer deployment for a digital-twin-empowered satellite-terrestrial integrated network[J]. Frontiers of information technology & electronic engineering, 2025, 26(2): 246-259.
DOI:
Yihong TAO, Bo LEI, Haoyang SHI, et al. Adaptive multi-layer deployment for a digital-twin-empowered satellite-terrestrial integrated network[J]. Frontiers of information technology & electronic engineering, 2025, 26(2): 246-259. DOI: 10.1631/FITEE.2400327.
Adaptive multi-layer deployment for a digital-twin-empowered satellite-terrestrial integrated networkEnhanced Publication