Qiang Fan
Orcid: 0000-0003-4940-7453Affiliations:
- Virginia Tech, Blacksburg, VA, USA
According to our database1,
Qiang Fan
authored at least 59 papers
between 2015 and 2025.
Collaborative distances:
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Bibliography
2025
Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles.
CoRR, June, 2025
Distributed Deep Reinforcement Learning-Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing.
IEEE Internet Things J., March, 2025
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV.
IEEE Internet Things J., March, 2025
2024
IEEE Syst. J., December, 2024
Semantic-Aware Resource Allocation Based on Deep Reinforcement Learning for 5G-V2X HetNets.
IEEE Commun. Lett., October, 2024
Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning.
IEEE Commun. Lett., October, 2024
IEEE Trans. Veh. Technol., August, 2024
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks.
IEEE Trans. Netw. Serv. Manag., August, 2024
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning.
Sensors, July, 2024
IEEE Netw. Lett., June, 2024
IEEE Trans. Netw. Serv. Manag., April, 2024
CoRR, 2024
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning.
CoRR, 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning.
CoRR, 2024
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing.
CoRR, 2024
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network.
CoRR, 2024
2023
Deep Reinforcement Learning-Based Power Allocation for Minimizing Age of Information and Energy Consumption in Multi-Input Multi-Output and Non-Orthogonal Multiple Access Internet of Things Systems.
Sensors, December, 2023
A Power Allocation Scheme for MIMO-NOMA and D2D Vehicular Edge Computing Based on Decentralized DRL.
Sensors, April, 2023
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning.
IEEE J. Sel. Top. Signal Process., January, 2023
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing.
CoRR, 2023
Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems.
CoRR, 2023
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
Proceedings of the IEEE International Conference on Communications, 2023
2022
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning.
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
Velocity-Adaptive Access Scheme for MEC-Assisted Platooning Networks: Access Fairness Via Data Freshness.
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
IEEE Internet Things J., 2022
Delay-Aware Resource Allocation in Fog-Assisted IoT Networks Through Reinforcement Learning.
IEEE Internet Things J., 2022
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks.
CoRR, 2022
Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method.
CoRR, 2022
Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022
2020
Efficient Task Offloading for 802.11p-Based Cloud-Aware Mobile Fog Computing System in Vehicular Networks.
Wirel. Commun. Mob. Comput., 2020
Real-Time Performance Evaluation of IEEE 802.11p EDCA Mechanism for IoV in a Highway Environment.
Wirel. Commun. Mob. Comput., 2020
Time-Dependent Performance Analysis of the 802.11p-Based Platooning Communications Under Disturbance.
IEEE Trans. Veh. Technol., 2020
IEEE Trans. Netw. Sci. Eng., 2020
Delay-Sensitive Task Offloading in the 802.11p-Based Vehicular Fog Computing Systems.
IEEE Internet Things J., 2020
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G.
CoRR, 2020
IEEE Access, 2020
Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm.
Proceedings of the NANOCOM '20: The Seventh Annual ACM International Conference on Nanoscale Computing and Communication, 2020
2019
IEEE Internet Things J., 2019
IEEE CAA J. Autom. Sinica, 2019
2018
Reducing the Impact of Handovers in Ground-to-Train Free Space Optical Communications.
IEEE Trans. Veh. Technol., 2018
Reducing the Number of FSO Base Stations With Dual Transceivers for Next-Generation Ground-to-Train Communications.
IEEE Trans. Veh. Technol., 2018
Towards Throughput Aware and Energy Aware Traffic Load Balancing in Heterogeneous Networks with Hybrid Power Supplies.
IEEE Trans. Green Commun. Netw., 2018
Velocity-Adaptive V2I Fair-Access Scheme Based on IEEE 802.11 DCF for Platooning Vehicles.
Sensors, 2018
A Swarming Approach to Optimize the One-Hop Delay in Smart Driving Inter-Platoon Communications.
Sensors, 2018
IEEE Internet Things J., 2018
IEEE Commun. Lett., 2018
2017
Proceedings of the IEEE International Conference on Communications, 2017
Proceedings of the IEEE International Conference on Communications, 2017
2016
Proceedings of the IEEE Wireless Communications and Networking Conference, 2016
2015
Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science, 2015