Jiadai Wang

Orcid: 0000-0002-2631-8792

According to our database1, Jiadai Wang authored at least 39 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Intelligent Network Slicing for B5G and 6G: Resource Allocation, Service Provisioning, and Security.
IEEE Wirel. Commun., June, 2024

5G End-to-End Slice Embedding Based on Heterogeneous Graph Neural Network and Reinforcement Learning.
IEEE Trans. Cogn. Commun. Netw., June, 2024

A Flexible Resource Allocation Scheme for NR V2X Based Vulnerable Road User Protection.
IEEE Trans. Veh. Technol., May, 2024

Digital twin-assisted flexible slice admission control for 5G core network: A deep reinforcement learning approach.
Future Gener. Comput. Syst., 2024

Strengthening network slicing for Industrial Internet with deep reinforcement learning.
Digit. Commun. Networks, 2024

Security-Reliability Tradeoff for Hybrid Automatic Repeat Request-Assisted NR V2X Communication.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Zoom-inRCL: Root Cause Localization at Virtualized Infrastructure Layer for B5G/6G Network Slicing.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Toward Optimizing Delivery Probability in NR Sidelink by MCS Selection.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023
Design and Optimization of RSMA for Coexisting HTC/MTC in 6G and Future Networks.
IEEE Trans. Wirel. Commun., December, 2023

Intelligent Task Offloading and Resource Allocation in Digital Twin Based Aerial Computing Networks.
IEEE J. Sel. Areas Commun., October, 2023

Artificial Intelligence-Assisted Network Slicing: Network Assurance and Service Provisioning in 6G.
IEEE Veh. Technol. Mag., March, 2023

Towards secure intra-vehicle communications in 5G advanced and beyond: Vulnerabilities, attacks and countermeasures.
Veh. Commun., February, 2023

Per-Zone Resource Reuse for NR Sidelink Based Vulnerable Road User Protection.
Proceedings of the International Wireless Communications and Mobile Computing, 2023

Intelligent Preamble Allocation for 5G RAN Slicing: A Hierarchical Reinforcement Learning Based Approach.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

Deep Learning-Based Log Anomaly Detection for 5G Core Network.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Virtual Network Embedding with Changeable Action Space: An Approach Based on Graph Neural Network and Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2023

Stochastic Geometric Performance Analysis for NR Sidelink Multi-Hop Relay.
Proceedings of the IEEE International Conference on Communications, 2023

Double-IRS Assisted Proactive Eavesdropping with Cooperative Reflecting and Backscatter.
Proceedings of the IEEE International Conference on Communications, 2023

MADRL-Enhanced Secure RAN Slicing in 5G and Beyond Multi-Cell Uplink Communication Systems.
Proceedings of the IEEE Global Communications Conference, 2023

Joint Optimization for Intelligent Reflecting Surface Enabled Backscatter Communication System.
Proceedings of the IEEE Global Communications Conference, 2023

Reinforcement Learning-based Dynamic Admission Control with Resource Recycling for 5G Core Network Slicing.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Secure and Reliable Slicing in 5G and Beyond Vehicular Networks.
IEEE Wirel. Commun., 2022

How to Protect Key Drones in Unmanned Aerial Vehicle Networks? An SDN-Based Topology Deception Scheme.
IEEE Trans. Veh. Technol., 2022

Deep Reinforcement Learning for Securing Software-Defined Industrial Networks With Distributed Control Plane.
IEEE Trans. Ind. Informatics, 2022

Deep Learning for Securing Software-Defined Industrial Internet of Things: Attacks and Countermeasures.
IEEE Internet Things J., 2022

Location Hijacking Attack in Software-Defined Space-Air-Ground-Integrated Vehicular Network.
IEEE Internet Things J., 2022

Blockchain-Assisted Distributed and Lightweight Authentication Service for Industrial Unmanned Aerial Vehicles.
IEEE Internet Things J., 2022

Joint Optimization in UAV-ground Communications Empowered by Multiple Aerial RISs.
Proceedings of the 23rd IEEE International Conference on High Performance Switching and Routing, 2022

2021
Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach.
IEEE Trans. Emerg. Top. Comput., 2021

2020
Unmanned Systems Security: Models, Challenges, and Future Directions.
IEEE Netw., 2020

Topology Poisoning Attack in SDN-Enabled Vehicular Edge Network.
IEEE Internet Things J., 2020

Automatic Content Inspection and Forensics for Children Android Apps.
IEEE Internet Things J., 2020

When Machine Learning Meets Privacy in 6G: A Survey.
IEEE Commun. Surv. Tutorials, 2020

Edge-Cloud Based Vehicle SLAM for Autonomous Indoor Map Updating.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Topology Poisoning Attacks and Countermeasures in SDN-enabled Vehicular Networks.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Optimal Edge Resource Allocation in IoT-Based Smart Cities.
IEEE Netw., 2019

Attacker Identification and Intrusion Detection for In-Vehicle Networks.
IEEE Commun. Lett., 2019

Networking and Communications in Autonomous Driving: A Survey.
IEEE Commun. Surv. Tutorials, 2019

Routing for Crowd Management in Smart Cities: A Deep Reinforcement Learning Perspective.
IEEE Commun. Mag., 2019


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