Yutong Zhang
Orcid: 0000-0002-8912-7942Affiliations:
- China Mobile Research Institute, Future Research Laboratory, Beijing, China
- Peking University, School of Electronics, State Key Laboratory of Advanced Optical Communication Systems and Networks, Beijing, China (PhD 2024)
According to our database1,
Yutong Zhang
authored at least 19 papers
between 2019 and 2025.
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Bibliography
2025
Trends, Challenges, and Key Technologies of Beam-Space Multiplexing Based on Metasurfaces.
IEEE Wirel. Commun., June, 2025
Large-Scale Intelligent Surfaces Enabled Unified Near-Field and Far-Field Communications: Codebook Design and Beam Training.
IEEE Netw., January, 2025
2023
Reconfigurable Holographic Surfaces for Ultra-Massive MIMO in 6G: Practical Design, Optimization and Implementation.
IEEE J. Sel. Areas Commun., August, 2023
IEEE Veh. Technol. Mag., March, 2023
J. Commun. Inf. Networks, March, 2023
Rate-Overhead Tradeoff for IOS-Aided Beam Training: How Large Codebook Is Enough for the IOS?
IEEE Wirel. Commun. Lett., 2023
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
IEEE Trans. Wirel. Commun., 2022
IEEE Trans. Wirel. Commun., 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Proceedings of the 96th Vehicular Technology Conference, 2022
Codebook Design for Large Reconfigurable Refractive Surface Enabled Holographic MIMO Systems.
Proceedings of the IEEE Global Communications Conference, 2022
2021
IEEE Wirel. Commun. Lett., 2021
Distributed Multi-Cloud Multi-Access Edge Computing by Multi-Agent Reinforcement Learning.
IEEE Trans. Wirel. Commun., 2021
Beyond Cell-Free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-Free MIMO Communications.
IEEE Trans. Cogn. Commun. Netw., 2021
2020
IEEE Trans. Veh. Technol., 2020
Beyond Cell-free MIMO: Energy Efficient Reconfigurable Intelligent Surface Aided Cell-free MIMO Communications.
CoRR, 2020
2019
Joint Data Offloading and Resource Allocation for Multi-Cloud Heterogeneous Mobile Edge Computing Using Multi-Agent Reinforcement Learning.
Proceedings of the 2019 IEEE Global Communications Conference, 2019