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20242026
most citedJoint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks

1 citations · 1 across the 11 of their papers we have counts for

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eess.SY2026

AoI-Oriented Globally Optimal Joint Source and Update Scheduling in Fluid Antenna Systems

Xiaopeng Yuan, Paul Zheng, Anke Schmeink

As a promising technique, fluid antennas enable adaptive radio environment management and interference mitigation through reconfigurable fluid port selections. In this work, to exp…

eess.SY2026

Efficient Trajectory Design and Communication Scheduling for Dual-UAV Jamming-Aided Secure Communication Networks

Xinran Wang, Peng Wu, Xiaopeng Yuan +2

We study dual-unmanned aerial vehicle (UAV) jamming-aided secure communication networks, in which one UAV delivers confidential data to multiple ground users (GUs), while a coopera…

eess.SY20261 cited

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

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4

Distributed edge learning (DL) is considered a cornerstone of intelligence enablers, since it allows for collaborative training without the necessity for local clients to share raw…

eess.SY2025

UAV-Enabled ISAC: Towards On-Demand Sensing Services and Enhanced Communication

Xiaopeng Yuan, Peng Wu, Xinran Wang +2

In this paper, we investigate an integrated sensing-and-communication (ISAC) network enabled by an unmanned aerial vehicle (UAV). The UAV is supposed to fly along a periodical circ…

eess.SY2025

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

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4

Distributed learning (DL) is considered a cornerstone of intelligence enabler, since it allows for collaborative training without the necessity for local clients to share raw data…