4 papers
Communication-Pipelined Split Federated Learning for Foundation Model Fine-Tuning in UAV Networks
Zizhen Zhou, Ying-Chang Liang, Yanyu Cheng +1
Deploying foundation models (FMs) on uncrewed aerial vehicles (UAVs) promises broad ``low-altitude economy'' applications. Split federated learning (SFL)-based fine-tuning leverage…
User Association and Coordinated Beamforming in Cognitive Aerial-Terrestrial Networks: A Safe Reinforcement Learning Approach
Zizhen Zhou, Jungang Ge, Ying-Chang Liang
Cognitive aerial-terrestrial networks (CATNs) offer a solution to spectrum scarcity by sharing spectrum between aerial and terrestrial networks. However, aerial users (AUs) experie…
Hierarchical Cognitive Spectrum Sharing in Space-Air-Ground Integrated Networks
Zizhen Zhou, Qianqian Zhang, Jungang Ge +1
In space-air-ground integrated networks (SAGINs), cognitive spectrum sharing has been regarded as a promising solution to improve spectrum efficiency by enabling a secondary networ…
An SBR Based Ray Tracing Channel Modeling Method for THz and Massive MIMO Communications
Yuanzhe Wang, Hao Cao, Yifan Jin +6
Terahertz (THz) communication and the application of massive multiple-input multiple-output (MIMO) technology have been proved significant for the sixth generation (6G) communicati…