Ming Ying

Orcid: 0000-0002-8433-2488

Affiliations:
  • Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China


According to our database1, Ming Ying authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
QoS-Driven Satellite Constellation Design for LEO Satellite Internet of Things.
IEEE Trans. Wirel. Commun., 2026

Modeling and Analysis for Multiple-Layer LEO Satellite Internet of Things Constellations.
IEEE Trans. Wirel. Commun., 2026

Integrated Communication and Remote Sensing in LEO Satellite Systems: Protocol, Architecture, and Prototype.
IEEE Trans. Wirel. Commun., 2026

Metasurface Antenna-Enabled LEO Satellite Constellation Communications: Design and Optimization.
IEEE Internet Things J., 2026

2025
Unified Design of Space-Air-Ground-Sea Integrated Maritime Communications.
IEEE Trans. Commun., December, 2025

On the Performance of Integrated Satellite-Terrestrial Maritime Communications.
IEEE Internet Things J., September, 2025

Constellation Design of Leo Satellite Internet of Things with Qos Provision.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Design of Integrated Communication and Remote Sensing in LEO Satellite Systems.
Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

2024
Robust Beamforming Design for Integrated Satellite-Terrestrial Maritime Communications in the Presence of Wave Fluctuation.
IEEE Internet Things J., November, 2024

Deep Learning-Based Joint Channel Prediction and Multibeam Precoding for LEO Satellite Internet of Things.
IEEE Trans. Wirel. Commun., October, 2024

Joint Beamforming and Trajectory Design for Space-Ground-Sea Integrated Maritime Communications.
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

2023
Exploiting Tensor-Based Bayesian Learning for Massive Grant-Free Random Access in LEO Satellite Internet of Things.
IEEE Trans. Commun., February, 2023

Channel Prediction-based Robust Multibeam Precoding Design for LEO Satellite Internet of Things.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023


  Loading...