Mubiao Yan

ORCID: 0009-0008-7295-8003
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About
Contact & Profiles
Research Areas
  • Satellite Communication Systems
  • Anomaly Detection Techniques and Applications
  • Fault Detection and Control Systems
  • Advanced Statistical Process Monitoring
  • Advanced MIMO Systems Optimization
  • Opportunistic and Delay-Tolerant Networks
  • Mobile Agent-Based Network Management
  • Advanced Statistical Methods and Models
  • Advanced Wireless Network Optimization
  • Advanced Computational Techniques and Applications
  • Age of Information Optimization
  • Optical Wireless Communication Technologies
  • Wireless Communication Networks Research
  • GNSS positioning and interference

University of Chinese Academy of Sciences
2021-2025

Innovation Academy for Microsatellites of Chinese Academy of Sciences
2021-2025

Shanghai Micro Satellite Engineering Center
2021-2025

10.1587/transfun.2025eal2009 article EN IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences 2025-01-01

Toward the vision of seamless global connectivity in 6G era, non-terrestrial network (NTN) space-air-ground integrated networks (SAGINs) architecture is one highly promising solutions. From perspective relay nodes, NTN includes satellite nodes and space-based platform nodes. As a resource management technology communication, beam-hopping has garnered significant attention from researchers due to its effectiveness ad-dressing disparity between offered capacities uneven terrestrial traffic...

10.3390/s24206574 article EN cc-by Sensors 2024-10-12

Detection of faults at the incipient stage is critical to improving availability and continuity satellite services. The application a local optimum projection vector Kullback–Leibler (KL) divergence can improve detection rate faults. However, this suffers from problem high time complexity. We propose decomposing KL in original optimization model applying property generalized Rayleigh quotient reduce Additionally, we establish two distribution models for subfunctions F1(w) F3(w) detect slight...

10.3390/e23091194 article EN cc-by Entropy 2021-09-09
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