Ming Zeng

Orcid: 0000-0002-7464-893X

Affiliations:
  • Beijing Institute of Technology, Beijing, China


According to our database1, Ming Zeng authored at least 19 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multiple Reconfigurable Intelligent Surfaces Aided Vehicular Edge Computing Networks: A MAPPO-Based Approach.
IEEE Trans. Veh. Technol., November, 2024

User Grouping with Fairness Consideration in Massive MIMO System with Varying Channel Quality.
Proceedings of the International Conference on Computing, Networking and Communications, 2024

Joint Task Offloading and Service Migration in RIS Assisted Vehicular Edge Computing Network Based on Deep Reinforcement Learning.
Proceedings of the International Conference on Computing, Networking and Communications, 2024

2023
RIS Aided NR-U and Wi-Fi Coexistence in Single Cell and Multiple Cell Networks on Unlicensed Bands.
IEEE Trans. Green Commun. Netw., September, 2023

2022
Dynamic Multichannel Access Based on Deep Reinforcement Learning in Distributed Wireless Networks.
IEEE Syst. J., 2022

Spatial-Reuse-Based Efficient Coexistence for Cellular and WiFi Systems in the Unlicensed Band.
IEEE Internet Things J., 2022

2021
Joint Bandwidth and Transmission Opportunity Allocation for the Coexistence Between NR-U and WiFi Systems in the Unlicensed Band.
IEEE Trans. Veh. Technol., 2021

Discovering Usage Patterns of Mobile Video Service in the Cellular Networks.
IEEE Trans. Netw. Serv. Manag., 2021

Reinforcement Learning Meets Wireless Networks: A Layering Perspective.
IEEE Internet Things J., 2021

2019
User behaviour modeling, recommendations, and purchase prediction during shopping festivals.
Electron. Mark., 2019

Data-Driven Location Selection for Battery Swapping Stations.
IEEE Access, 2019

2018
Temporal-Spatial Mobile Application Usage Understanding and Popularity Prediction for Edge Caching.
IEEE Wirel. Commun., 2018

Mobility Assisted Content Transmission For Device-to-Device Communication Underlaying Cellular Networks.
IEEE Trans. Veh. Technol., 2018

DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction.
IEEE Netw., 2018

Incentive Mechanism Design for Computation Offloading in Heterogeneous Fog Computing: A Contract-Based Approach.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Exploiting Multi-Hop Relay to Achieve Mobility-Aware Transmission Scheduling in mmWave Systems.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Characterizing and Predicting Individual Traffic Usage of Mobile Application in Cellular Network.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
Mobility-assisted device to device communications for Content Transmission.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

Characterizing the Usage of Mobile Video Service in Cellular Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017


  Loading...