Meng Li
Orcid: 0000-0002-5576-9883Affiliations:
- Beijing University of Technology, Faculty of Information Technology, China (PhD 2018)
According to our database1,
Meng Li
authored at least 46 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Resources Scheduling for Ambient Backscatter Communication-Based Intelligent IIoT: A Collective Deep Reinforcement Learning Method.
IEEE Trans. Cogn. Commun. Netw., April, 2024
Parallel Offloading and Resource Optimization for Multi-Hop Ad Hoc Network-Enabled CBTC With Mobile Edge Computing.
IEEE Trans. Veh. Technol., 2024
2023
Performance Optimization for Energy-Efficient Industrial Internet of Things Based on Ambient Backscatter Communication: An A3C-FL Approach.
IEEE Trans. Green Commun. Netw., September, 2023
Next-Hop Relay Selection for Ad Hoc Network-Assisted Train-to-Train Communications in the CBTC System.
Sensors, July, 2023
Sensors, July, 2023
Collaborative and Intelligent Resource Optimization for Computing and Caching in IoV With Blockchain and MEC Using A3C Approach.
IEEE Trans. Veh. Technol., February, 2023
Delay-Aware Intelligent Asymmetrical Edge Control for Autonomous Vehicles with Dynamic Leading Velocity.
Symmetry, 2023
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Distributed Resource Optimization and Allocation for UAV-Assisted MEC in Internet of Vehicles.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023
Task Offloading and Resource Management for CBTC via Multi-Hop Ad Hoc Network and MEC.
Proceedings of the IEEE Global Communications Conference, 2023
2022
Design of Intelligent Connected Cruise Control With Vehicle-to-Vehicle Communication Delays.
IEEE Trans. Veh. Technol., 2022
Intelligent Resource Optimization for Blockchain-Enabled IoT in 6G via Collective Reinforcement Learning.
IEEE Netw., 2022
Sharded Blockchain for Collaborative Computing in the Internet of Things: Combined of Dynamic Clustering and Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2022
Cloud-Edge Collaborative Resource Allocation for Blockchain-Enabled Internet of Things: A Collective Reinforcement Learning Approach.
IEEE Internet Things J., 2022
Satisfied Matching-Embedded Social Internet of Things for Content Preference-Aware Resource Allocation in D2D Underlaying Cellular Networks.
IEEE Internet Things J., 2022
Joint Optimization of Control Strategy and Energy Consumption for Energy Harvesting WSAN.
Entropy, 2022
Blockchain Sharding Strategy for Collaborative Computing Internet of Things Combining Dynamic Clustering and Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2022
Energy-Efficient Resource Allocation for MEC and Blockchain-Enabled IoT via CRL Approach.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Energy-Efficient Resource Allocation for Blockchain-Enabled Industrial Internet of Things With Deep Reinforcement Learning.
IEEE Internet Things J., 2021
A Joint Channel Allocation and Power Control Scheme for D2D Communication in UAV-based Networks.
Proceedings of the 21st International Conference on Communication Technology, 2021
Reliable Data Transmission over Energy-Efficient Vehicular Network Based on Blockchain and MEC.
Proceedings of the ICC 2021, 2021
MEC and Blockchain-Enabled Energy-Efficient Internet of Vehicles Based on A3C Approach.
Proceedings of the IEEE Global Communications Conference, 2021
2020
Joint V2V-Assisted Clustering, Caching, and Multicast Beamforming in Vehicular Edge Networks.
Wirel. Commun. Mob. Comput., 2020
Wirel. Commun. Mob. Comput., 2020
UAV-Assisted Data Transmission in Blockchain-Enabled M2M Communications with Mobile Edge Computing.
IEEE Netw., 2020
Resource Optimization for Delay-Tolerant Data in Blockchain-Enabled IoT With Edge Computing: A Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2020
IEEE Access, 2020
2019
Energy-Efficient Machine-to-Machine (M2M) Communications in Virtualized Cellular Networks with Mobile Edge Computing (MEC).
IEEE Trans. Mob. Comput., 2019
Deep Reinforcement Learning-Based Offloading Decision Optimization in Mobile Edge Computing.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Joint Optimization of Control Law and Power Consumption for Wireless Sensor and Actuator Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Optimal Control Strategy Design with Minimum Energy Consumption for Connected Vehicle Systems.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Joint Optimization of Networking and Computing Resources for Green M2M Communications Based on DRL.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Delay-Tolerant Data Traffic to Software-Defined Vehicular Networks With Mobile Edge Computing in Smart City.
IEEE Trans. Veh. Technol., 2018
Green Machine-to-Machine Communications with Mobile Edge Computing and Wireless Network Virtualization.
IEEE Commun. Mag., 2018
Optimized Virtual Resource Allocation in Random Access Procedure for Machine-to-Machine Communications in Software Defined Cellular Networks.
Ad Hoc Sens. Wirel. Networks, 2018
Software-Defined Vehicular Networks with Caching and Computing for Delay-Tolerant Data Traffic.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Random Access and Virtual Resource Allocation in Software-Defined Cellular Networks With Machine-to-Machine Communications.
IEEE Trans. Veh. Technol., 2017
Energy-Efficient Mobile Cloud Gaming System Based on Stackelberg Game in Wireless Mobile Networks.
Ad Hoc Sens. Wirel. Networks, 2017
Energy-efficient M2M communications with mobile edge computing in virtualized cellular networks.
Proceedings of the IEEE International Conference on Communications, 2017
2016
Machine-to-Machine (M2M) Communications in Software-defined and Virtualized Cellular Networks.
CoRR, 2016
CoRR, 2016
CoRR, 2016
Random Access Optimization for M2M Communications in VANET with Wireless Network Virtualization.
Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, 2016
Random Access and Resource Allocation in Software-Defined Cellular Networks with M2M Communications.
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
An Energy-Efficient User Location-Aware Switch-Off Method for LTE-A Cellular Networks.
Wirel. Pers. Commun., 2015