Mingzhe Chen

According to our database1, Mingzhe Chen authored at least 60 papers between 2015 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Homepage:

On csauthors.net:

Bibliography

2020
Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach.
IEEE Trans. Wirel. Commun., 2020

Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks.
IEEE Trans. Wirel. Commun., 2020

A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems.
IEEE Netw., 2020

A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks.
CoRR, 2020

Delay Minimization for Federated Learning Over Wireless Communication Networks.
CoRR, 2020

UVeQFed: Universal Vector Quantization for Federated Learning.
CoRR, 2020

Wireless Communications for Collaborative Federated Learning in the Internet of Things.
CoRR, 2020

Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks.
CoRR, 2020

Energy-Efficient Wireless Communications with Distributed Reconfigurable Intelligent Surfaces.
CoRR, 2020

6G White Paper on Machine Learning in Wireless Communication Networks.
CoRR, 2020

Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks.
CoRR, 2020

Distributed and Democratized Learning: Philosophy and Research Challenges.
CoRR, 2020

Machine Learning for Predictive Deployment of UAVs with Multiple Access.
CoRR, 2020

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs.
CoRR, 2020

Convergence Time Optimization for Federated Learning over Wireless Networks.
CoRR, 2020

Trajectory Design for Energy Harvesting UAV Networks: A Foraging Approach.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Resource Allocation for UAV Assisted Wireless Networks with QoS Constraints.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Performance Optimization of Federated Learning over Mobile Wireless Networks.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Federated Learning for Energy-Efficient Task Computing in Wireless Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Convergence Time Minimization of Federated Learning over Wireless Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Energy Efficient Rate Splitting Multiple Access (RSMA) with Reconfigurable Intelligent Surface.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Downlink Sum-Rate Maximization for Rate Splitting Multiple Access (RSMA).
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Federated Learning with Quantization Constraints.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs.
IEEE Wirel. Commun., 2019

Liquid State Machine Learning for Resource and Cache Management in LTE-U Unmanned Aerial Vehicle (UAV) Networks.
IEEE Trans. Wirel. Commun., 2019

Data Correlation-Aware Resource Management in Wireless Virtual Reality (VR): An Echo State Transfer Learning Approach.
IEEE Trans. Commun., 2019

Echo-Liquid State Deep Learning for 360° Content Transmission and Caching in Wireless VR Networks With Cellular-Connected UAVs.
IEEE Trans. Commun., 2019

Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach.
J. Commun. Inf. Networks, 2019

Power Efficient Visible Light Communication With Unmanned Aerial Vehicles.
IEEE Commun. Lett., 2019

Energy Efficient Federated Learning Over Wireless Communication Networks.
CoRR, 2019

A Joint Learning and Communications Framework for Federated Learning over Wireless Networks.
CoRR, 2019

Power Efficient Visible Light Communication (VLC) with Unmanned Aerial Vehicles (UAVs).
CoRR, 2019

Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial.
IEEE Commun. Surv. Tutorials, 2019

Competitive Market for Joint Access and Backhaul Resource Allocation in Satellite-Drone Networks.
Proceedings of the 10th IFIP International Conference on New Technologies, 2019

Liquid State Based Transfer Learning for 360° Image Transmission in Wireless VR Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Deep Learning for 360° Content Transmission in UAV-Enabled Virtual Reality.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Federated Deep Learning for Immersive Virtual Reality over Wireless Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Performance Optimization of Federated Learning over Wireless Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Virtual Reality Over Wireless Networks: Quality-of-Service Model and Learning-Based Resource Management.
IEEE Trans. Commun., 2018

Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs.
CoRR, 2018

Distributed Resource Allocation for Mobile Users in Cache-Enabled Software Defined Cellular Networks.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Analysis of Memory Capacity for Deep Echo State Networks.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q-Learning Approach.
Proceedings of the IEEE International Conference on Communication Systems, 2018

Echo State Learning for Wireless Virtual Reality Resource Allocation in UAV-Enabled LTE-U Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Echo State Networks for Proactive Caching in Cloud-Based Radio Access Networks With Mobile Users.
IEEE Trans. Wirel. Commun., 2017

Echo State Networks for Self-Organizing Resource Allocation in LTE-U With Uplink-Downlink Decoupling.
IEEE Trans. Wirel. Commun., 2017

Caching in the Sky: Proactive Deployment of Cache-Enabled Unmanned Aerial Vehicles for Optimized Quality-of-Experience.
IEEE J. Sel. Areas Commun., 2017

Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks.
CoRR, 2017

Reinforcement learning based resource allocation in cache-enabled small cell networks with mobile users.
Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

Liquid State Machine Learning for Resource Allocation in a Network of Cache-Enabled LTE-U UAVs.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Resource Management for Wireless Virtual Reality: Machine Learning Meets Multi-Attribute Utility.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Echo state transfer learning for data correlation aware resource allocation in wireless virtual reality.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Tri-Sectoring and Power Allocation of Macro Base Stations in Heterogeneous Cellular Networks with Matern Hard-Core Processes.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Optimized uplink-downlink decoupling in LTE-U networks: An echo state approach.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Echo State Networks for Proactive Caching and Content Prediction in Cloud Radio Access Networks.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015
Power control algorithm based on the interference statistic properties in heterogeneous networks.
Proceedings of the 26th IEEE Annual International Symposium on Personal, 2015


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