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Dan-Shi Wang

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Oct 2026

Multi-Objective Parameter Self-Refinement for Digital Twin of C+L-Band Transmission System Under Measurement Constraints

Digital twin (DT) technology has emerged as a cornerstone for autonomous optical networks; however, its predictive fidelity is critically dependent on the accuracy of the underlying physical parameters—particularly the fiber attenuation, component insertion losses (ILs), and amplifier gain profiles. These parameters ar...

Yu-Jia Yang, Sheng-Nan Li, Yue Pang et al. · 0 citations
2026

Performance Analysis of SAG FSO/RF Two-Hop Transmission in the Presence of Co-Channel Interference

Free-space optical (FSO) communication is a promising solution for future satellite-to-ground networks because it can achieve extremely high data rates. High-altitude platforms (HAPs) have the potential to provide stable satellite-to-ground connections in this context. In this study, we present a unified performance an...

Yi Huang, Jin Li, Min Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Toward Agentic Optical Networks: A Vision of LLM Agent-Driven Autonomous Lifecycle Management

A hierarchical multi-Agent framework is proposed, specifically developed to manage every phase in LCM of AONs, including planning, deployment, operation, maintenance, upgrade, and decommission, thereby enabling more cohesive and comprehensive automation throughout the entire lifecycle.

Yao Zhang, Sheng-Nan Li, Yu-Chen Song et al. · 0 citations
2026

A Reinforcement Learning-Based Scheduling Scheme for FSO and RF Hybrid Satellite-to-Ground Transmission Systems

Low Earth orbit (LEO) satellite-terrestrial communication systems grapple with significant challenges posed by their inherent dynamism and substantial transmission delays. To address these critical issues, this paper proposes a novel hybrid-medium transmission optimization framework that leverages high-altitude platfor...

Yi Huang, Jin Li, Yan-Wen Zhu et al. · 0 citations

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