Jianzhe Xue
Orcid: 0009-0007-7278-9177
According to our database1,
Jianzhe Xue
authored at least 15 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2023
2024
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Bibliography
2024
Toward Handover-Free Mobility Management in FD-RAN: Architecture, Challenges, and Solutions.
IEEE Netw., November, 2024
Cooperative Deep Reinforcement Learning Enabled Power Allocation for Packet Duplication URLLC in Multi-Connectivity Vehicular Networks.
IEEE Trans. Mob. Comput., August, 2024
Sparse Mobile Crowdsensing for Cost-Effective Traffic State Estimation With Spatio-Temporal Transformer Graph Neural Network.
IEEE Internet Things J., May, 2024
CoRR, 2024
ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited Data.
CoRR, 2024
Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles.
CoRR, 2024
Evolution of RAN Architectures Toward 6G: Motivation, Development, and Enabling Technologies.
IEEE Commun. Surv. Tutorials, 2024
2023
Multi-Connectivity Mobility Management in Downlink FD-RAN: A Learning Based Approach.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023
Deep Reinforcement Learning Enabled Power Allocation for Multi-Connectivity C-V2X Downlink.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023
Joint User Association and Base Station Sleeping Scheme for Uplink Fully-Decoupled RAN.
Proceedings of the IEEE International Conference on Communications, 2023
2022
Low-Cost Traffic Perception for Road Detector Data Estimation: A Deep Learning Approach.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022
A Grasshopper Optimization Algorithm for Fault Diagnosis in Ultra-Dense LEO satellite networks.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022
Sparse Big Data for Vehicular Network Traffic Flow Estimation: A Machine Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2022