Wanlu Sun

Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey

6G Internet of Things: A Comprehensive Survey

Networking and Communications in Autonomous Driving: A Survey

Space-Air-Ground Integrated Network: A Survey

Deep Reinforcement Learning Based Resource Allocation for V2V Communications

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

5G D2D Networks: Techniques, Challenges, and Future Prospects

Massive Connectivity in 5G and Beyond: Technical Enablers for the Energy and Automotive Verticals

A survey on device-to-device (D2D) communication: Architecture and security issues

Cognitive Internet of Vehicles

Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective

Deep Neural Network Aided Low-Complexity MPA Receivers for Uplink SCMA Systems

The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

Model-Driven Deep Learning for Physical Layer Communications

Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks

Cluster-Based Radio Resource Management for D2D-Supported Safety-Critical V2X Communications

Resource allocation for V2X communications: A local search based 3D matching approach

Radio Resource Management for D2D-Based V2V Communication