Hao Yu
Orcid: 0000-0003-3522-3426Affiliations:
- University of Oulu, Center of Wireless Communications, Finland
- Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, China (PhD 2020)
According to our database1,
Hao Yu
authored at least 24 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks.
IEEE Trans. Mob. Comput., May, 2024
Joint Service Migration and Resource Allocation in Edge IoT System Based on Deep Reinforcement Learning.
IEEE Internet Things J., April, 2024
Toward Supporting Holographic Services Over Deterministic 6G Integrated Terrestrial and Non-Terrestrial Networks.
IEEE Netw., January, 2024
CoRR, 2024
2023
Deep Reinforcement Learning-Based Deterministic Routing and Scheduling for Mixed-Criticality Flows.
IEEE Trans. Ind. Informatics, August, 2023
Suspect fault screen assisted graph aggregation network for intra-/inter-node failure localization in ROADM-based optical networks.
J. Opt. Commun. Netw., July, 2023
Probabilistic-Assured Resource Provisioning With Customizable Hybrid Isolation for Vertical Industrial Slicing.
IEEE Trans. Netw. Serv. Manag., June, 2023
Toward 6G-Based Metaverse: Supporting Highly-Dynamic Deterministic Multi-User Extended Reality Services.
IEEE Netw., 2023
Deep Reinforcement Learning-Based Task Offloading Over In-Network Computing and Multi-Access Edge Computing.
Proceedings of the International Conference on Networking and Network Applications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
2022
Deterministic Latency/Jitter-Aware Service Function Chaining Over Beyond 5G Edge Fabric.
IEEE Trans. Netw. Serv. Manag., 2022
Deterministic Latency Bounded Network Slice Deployment in IP-Over-WDM Based Metro-Aggregation Networks.
IEEE Trans. Netw. Sci. Eng., 2022
Attention-aided Federated Learning for Dependency-Aware Collaborative Task Allocation in Edge-Assisted Smart Grid Scenarios.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2022
Deep Reinforcement Learning for Dependency-aware Microservice Deployment in Edge Computing.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Proceedings of the IEEE Global Communications Conference, 2021
Demonstration of Latency Control Label-Based Bounded-Jitter Scheduling in a Bridged Network for Industrial Internet.
Proceedings of the European Conference on Optical Communication, 2021
2020
Dynamic 5G RAN slice adjustment and migration based on traffic prediction in WDM metro-aggregation networks.
JOCN, 2020
2019
Proceedings of the Optical Network Design and Modeling, 2019
2018
Energy-Efficient Dynamic Lightpath Adjustment in a Decomposed AWGR-Based Passive WDM Fronthaul: publisher's note.
JOCN, 2018
Energy-Efficient Dynamic Lightpath Adjustment in a Decomposed AWGR-Based Passive WDM Fronthaul.
JOCN, 2018
Sci. China Inf. Sci., 2018
Energy-Efficient Lightpath Reconfiguration in a Decomposed-AWGR-Based Passive WDM Fronthaul.
Proceedings of the European Conference on Optical Communication, 2018
2017
Demonstration of radio and optical orchestration for improved coordinated multi-point (CoMP) service over flexible optical fronthaul transport networks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017
Demonstration of Lightpath Reconfiguration for BBU Aggregation in the SDN-Enabled Optical Fronthaul Networks.
Proceedings of the European Conference on Optical Communication, 2017