Pengyi Jia
Orcid: 0000-0002-1100-2293
According to our database1,
Pengyi Jia
authored at least 13 papers
between 2020 and 2024.
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Bibliography
2024
Hierarchical Digital Twin for Efficient 6G Network Orchestration via Adaptive Attribute Selection and Scalable Network Modeling.
CoRR, 2024
Multi-Rate Hybrid Predistortion with Reduced Sampling Rate and Resolution for 6G Power Amplifier Linearization.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2024
2023
A New Virtual Network Topology-Based Digital Twin for Spatial-Temporal Load-Balanced User Association in 6G HetNets.
IEEE J. Sel. Areas Commun., October, 2023
Intelligent and Low Overhead Network Synchronization for Large-Scale Industrial IoT Systems in the 6G Era.
IEEE Netw., 2023
Accurate and Efficient Digital Twin Construction Using Concurrent End-to-End Synchronization and Multi-Attribute Data Resampling.
IEEE Internet Things J., 2023
Digital Twin Enabled Intelligent Network Orchestration for 6G: A Dual-Layered Approach.
Proceedings of the IEEE INFOCOM 2023, 2023
Efficient and Resilient Data Synchronization with Timestamp Compression in IoT Systems.
Proceedings of the IEEE Globecom Workshops 2023, 2023
Centralized Digital Predistortion in 6G: Distributed Task Offloading and Scheduling for Complexity-Reduced PA Linearization.
Proceedings of the IEEE Globecom Workshops 2023, 2023
2022
Situation-Aware Hybrid Time Synchronization Based on Multi-Source Timestamping Uncertainty Modeling.
Proceedings of the 96th Vehicular Technology Conference, 2022
2021
Digital-Twin-Enabled Intelligent Distributed Clock Synchronization in Industrial IoT Systems.
IEEE Internet Things J., 2021
Passive Network Synchronization Based on Concurrent Observations in Industrial IoT Systems.
IEEE Internet Things J., 2021
Low-Overhead Data Synchronization Enabled by Prescheduled Task Period in Time-Sensitive IoT Systems.
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
2020
Distributed Clock Synchronization Based on Intelligent Clustering in Local Area Industrial IoT Systems.
IEEE Trans. Ind. Informatics, 2020