Paul Zheng

According to our database, Paul Zheng authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks.

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi, Yao Zhu, Yulin Hu, Marina Petrova, Anke Schmeink

CoRR, May, 2025

Multi-UAV-Enabled Cognitive Radio Networks: Joint UAV Deployment and Resource Allocation Design.

Paul Zheng, Boyao Li, Xiaopeng Yuan, Yulin Hu, Anke Schmeink

Proceedings of the 28th International Workshop on Smart Antennas, 2025

Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks.

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi, Yao Zhu, Yulin Hu, Marina Petrova, Anke Schmeink

Proceedings of the IEEE International Conference on Communications, 2025

2024

A Novel Link Adaptation Approach for URLLC: A DRL-Based Method with OLLA.

Wei Gao, Paul Zheng, Yulin Hu, Chao Shen, Bo Ai, Anke Schmeink

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Over-the-Air Federated Learning Client Selection in Integrated Sensing, Computing and Communication.

Paul Zheng, Yao Zhu, H. Yulin, Anke Schmeink

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Performance Enhancement on Federated Learning Supported by RIS-Aided Communication in the FBL Regime.

Wei Gao, Paul Zheng, Yulin Hu, Bo Ai, Anke Schmeink

Proceedings of the IEEE International Conference on Communications, 2024

2023

PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and Sparse Spikes.

Paul Zheng, Emilie Chouzenoux, Laurent Duval

IEEE Signal Process. Lett., 2023

2022

V2E Association and Resource Allocation via Deep Reinforcement Learning in MEC-based HetVNets.

Yuying Wu, Zhengming Zhang, Paul Zheng, Yulin Hu, Anke Schmeink

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Data-driven Extreme Events Modeling for Vehicle Networks by Personalized Federated Learning: Invited Paper.

Paul Zheng, Yao Zhu, Yulin Hu, Anke Schmeink

Proceedings of the 18th International Symposium on Wireless Communication Systems, 2022

2021

Multi-Device Low-Latency IoT Networks With Blind Retransmissions in the Finite Blocklength Regime.

Qinwei He, Yao Zhu, Paul Zheng, Yulin Hu, Anke Schmeink

IEEE Trans. Veh. Technol., 2021

Federated Learning in Heterogeneous Networks with Unreliable Communication.

Paul Zheng, Yao Zhu, Zhengming Zhang, Yulin Hu, Anke Schmeink

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Multi-Device Low-Latency Internet of Things Networks with Blind Retransmissions in the Finite Blocklength Regime.

Qinwei He, Paul Zheng, Yao Zhu, Yulin Hu, Anke Schmeink

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020