Ruikang Zhong

Orcid: 0000-0003-4914-6425

According to our database1, Ruikang Zhong authored at least 17 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Mobile Edge Generation: A New Era to 6G.
CoRR, 2024

2023
STAR-RISs Assisted NOMA Networks: A Distributed Learning Approach.
IEEE J. Sel. Top. Signal Process., January, 2023

Caching-at-STARS: the Next Generation Edge Caching.
CoRR, 2023

Machine Learning Empowered Large RIS-assisted Near-field Communications.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Resource Management for Heterogeneous Semantic and Bit Communication Systems.
Proceedings of the IEEE International Conference on Communications, 2023

Energy Efficient Beamforming Design for Non-Orthogonal Multiple Access Systems: A Curiosity-Driven Approach.
Proceedings of the IEEE Globecom Workshops 2023, 2023

Exploiting Caching-at-STARS: Joint Caching Replacement and Hybrid Beamforming.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Path Design and Resource Management for NOMA Enhanced Indoor Intelligent Robots.
IEEE Trans. Wirel. Commun., 2022

Mobile Reconfigurable Intelligent Surfaces for NOMA Networks: Federated Learning Approaches.
IEEE Trans. Wirel. Commun., 2022

Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading.
IEEE Trans. Wirel. Commun., 2022

Hybrid Reinforcement Learning for STAR-RISs: A Coupled Phase-Shift Model Based Beamformer.
IEEE J. Sel. Areas Commun., 2022

AI Empowered RIS-Assisted NOMA Networks: Deep Learning or Reinforcement Learning?
IEEE J. Sel. Areas Commun., 2022

STAR-RISs Assisted NOMA Networks: A Tile-based Passive Beamforming Approach.
Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

Federated Learning Empowered Mobile RISs for NOMA Networks.
Proceedings of the IEEE International Conference on Communications, 2022

A Reinforcement Learning Approach for Energy Efficient Beamforming in NOMA Systems.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Path Design for NOMA-Enhanced Robots: A Machine Learning Approach with Radio Map.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
NOMA in UAV-aided cellular offloading: A machine learning approach.
Proceedings of the IEEE Globecom Workshops, 2020


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