Mingzhe Chen

发表

Federated Learning for Task and Resource Allocation in Wireless High-Altitude Balloon Networks pdf

H. Vincent Poor, Shuguang Cui, Choong Seon Hong, 2020, IEEE Internet of Things Journal.

Resource Allocation for UAV Assisted Wireless Networks with QoS Constraints

Zhaohui Yang, Mohammad Shikh-Bahaei, Jiancao Hou, 2020, 2020 IEEE Wireless Communications and Networking Conference (WCNC).

Federated Learning for Energy-Efficient Task Computing in Wireless Networks

Walid Saad, Sihua Wang, Mingzhe Chen, 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication

Walid Saad, Zhaohui Yang, Mohammad Shikh-Bahaei, 2020 .

Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs

Walid Saad, Ursula Challita, Mingzhe Chen, 2018, IEEE Wireless Communications.

Wireless Communications for Collaborative Federated Learning

Shuguang Cui, Walid Saad, H. Vincent Poor, 2020, IEEE Communications Magazine.

Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication pdf

Zhaohui Yang, Mingzhe Chen, Chongwen Huang, 2020, ArXiv.

Downlink Sum-Rate Maximization for Rate Splitting Multiple Access (RSMA)

Walid Saad, Zhaohui Yang, Mohammad Shikh-Bahaei, 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

Deep Learning for 360° Content Transmission in UAV-Enabled Virtual Reality

Walid Saad, Mingzhe Chen, Changchuan Yin, 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

Walid Saad, H. Vincent Poor, Zhaohui Yang, 2021, IEEE Transactions on Wireless Communications.

Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial

Ursula Challita, Mingzhe Chen, Changchuan Yin, 2017, IEEE Communications Surveys & Tutorials.

Wireless Communications for Collaborative Federated Learning pdf

H. Vincent Poor, Shuguang Cui, Walid Saad, 2020, IEEE Communications Magazine.

Performance Optimization of Federated Learning over Mobile Wireless Networks

Shuguang Cui, Walid Saad, H. Vincent Poor, 2020, 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach

Walid Saad, Mingzhe Chen, Ye Hu, 2019, IEEE Transactions on Wireless Communications.

A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks

Shuguang Cui, H. Vincent Poor, Sihua Wang, 2020, IEEE Internet of Things Journal.

Delay Minimization for Federated Learning Over Wireless Communication Networks pdf

Shuguang Cui, Choong Seon Hong, Walid Saad, 2020, ArXiv.

Optimization of Rate Allocation and Power Control for Rate Splitting Multiple Access (RSMA)

Walid Saad, Zhaohui Yang, Mohammad Shikh-Bahaei, 2019, IEEE Transactions on Communications.

UVeQFed: Universal Vector Quantization for Federated Learning

Yonina C. Eldar, Shuguang Cui, H. Vincent Poor, 2020, IEEE Transactions on Signal Processing.

Convergence Time Optimization for Federated Learning Over Wireless Networks pdf

H. Vincent Poor, Shuguang Cui, Walid Saad, 2020, IEEE Transactions on Wireless Communications.

Optimization of Resource Allocation in Multi-Cell OFDM Systems: A Distributed Reinforcement Learning Approach

Zhaohui Yang, Mingzhe Chen, Ming Chen, 2020, 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications.

Artificial Intelligence Aided Next-Generation Networks Relying on UAVs pdf

Shuguang Cui, Lajos Hanzo, Yuanwei Liu, 2020, IEEE Wireless Communications.

Task and Resource Allocation in Mobile Edge Computing: An Improved Reinforcement Learning Approach

Sihua Wang, Mingzhe Chen, Changchuan Yin, 2019, 2019 IEEE Globecom Workshops (GC Wkshps).

Federated Learning with Quantization Constraints

Yonina C. Eldar, H. Vincent Poor, Shuguang Cui, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Liquid State Based Transfer Learning for 360° Image Transmission in Wireless VR Networks

Walid Saad, Mingzhe Chen, Changchuan Yin, 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

Power Efficient Deployment of VLC-enabled UAVs

Shuguang Cui, Yang Yang, Mingzhe Chen, 2020, 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications.

Distributed and Democratized Learning: Philosophy and Research Challenges

Choong Seon Hong, Nguyen H. Tran, Shashi Raj Pandey, 2020, IEEE Computational Intelligence Magazine.

Machine Learning for Predictive Deployment of UAVs With Multiple Access pdf

Zhaohui Yang, Mohammad Shikh-Bahaei, Zelin Zang, 2020, IEEE Open Journal of the Communications Society.

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

Yang Yang, Mingzhe Chen, Caili Guo, 2019 .

Federated Learning for 6G: Applications, Challenges, and Opportunities pdf

Shuguang Cui, Kai-Kit Wong, H. Vincent Poor, 2021, Engineering.

Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks pdf

H. Vincent Poor, Shuguang Cui, Mingzhe Chen, 2020, IEEE Journal on Selected Areas in Communications.

Optimized Trajectory Design in UAV Based Cellular Networks: A Double Q-Learning Approach

Mingzhe Chen, Changchuan Yin, Xuanlin Liu, 2018, 2018 IEEE International Conference on Communication Systems (ICCS).

Joint Location and Power Optimization for THz-enabled UAV Communications pdf

Choong Seon Hong, Walid Saad, Zhaohui Yang, 2020, ArXiv.

Convergence Time Minimization of Federated Learning over Wireless Networks

Shuguang Cui, Walid Saad, Mingzhe Chen, 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

Power Efficient Visible Light Communication With Unmanned Aerial Vehicles

Walid Saad, Yang Yang, Chunyan Feng, 2019, IEEE Communications Letters.

Optimized Trajectory Design in UAV Based Cellular Networks for 3D Users: A Double Q-Learning Approach

Mingzhe Chen, Changchuan Yin, Xuanlin Liu, 2019, J. Commun. Inf. Networks.

Sum-Rate Maximization of Uplink Rate Splitting Multiple Access (RSMA) Communication

Walid Saad, Zhaohui Yang, Mohammad Shikh-Bahaei, 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

Performance Optimization of Federated Learning over Wireless Networks

H. Vincent Poor, Shuguang Cui, Walid Saad, 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms

Omid Semiari, Walid Saad, Mehdi Bennis, 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).

Energy-Efficient Wireless Communications With Distributed Reconfigurable Intelligent Surfaces pdf

H. Vincent Poor, Shuguang Cui, Walid Saad, 2020, IEEE Transactions on Wireless Communications.

Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks pdf

Shuguang Cui, Walid Saad, H. Vincent Poor, 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

Energy Efficient Federated Learning Over Wireless Communication Networks pdf

Choong Seon Hong, Walid Saad, Zhaohui Yang, 2019, IEEE Transactions on Wireless Communications.

Energy Efficient Rate Splitting Multiple Access (RSMA) with Reconfigurable Intelligent Surface

Zhaohui Yang, Mohammad Shikh-Bahaei, Mingzhe Chen, 2020, 2020 IEEE International Conference on Communications Workshops (ICC Workshops).

Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs

Walid Saad, Tao Luo, Zhaohui Yang, 2019, 2019 IEEE Global Communications Conference (GLOBECOM).

Competitive Market for Joint Access and Backhaul Resource Allocation in Satellite-Drone Networks

Walid Saad, Mingzhe Chen, Ye Hu, 2019, 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS).