首页|期刊导航|通信与信息网络学报（英文）|Cost-Effective Federated Learning-Based Approach for SINR Prediction in Cellular-Connected UAVs
通信与信息网络学报（英文）2024，Vol.9Issue(4)：374-389,16.
Cost-Effective Federated Learning-Based Approach for SINR Prediction in Cellular-Connected UAVs
Cost-Effective Federated Learning-Based Approach for SINR Prediction in Cellular-Connected UAVs
摘要
关键词
federated learning/unmanned aerial vehi-cle/convolutional neural network/ray-tracing/signal-to-interference-plus-noise ratioKey words
federated learning/unmanned aerial vehi-cle/convolutional neural network/ray-tracing/signal-to-interference-plus-noise ratio引用本文复制引用
Ibrahem Mouhamad,Dushantha Nalin K.Jayakody,Dejan Vukobratovic..Cost-Effective Federated Learning-Based Approach for SINR Prediction in Cellular-Connected UAVs[J].通信与信息网络学报（英文）,2024,9(4):374-389,16.基金项目
This work was supported in part by the Scheme for Promotion of Academic & Research Collaboration(SPARC),Government of India un-der Grant SPARC/2024-2025/NXTG/P3524,in part by the COFAC-Cooper-ativa de Formação e Animação Cultural,C.R.L.(University of Lusófona Uni-versity),via the Project PortuLight(COFAC/ILIND/COPELABS/2/2023),in part by the National Funds through FCT-Fundação para a Ciência e a Tec-nologia-as part of the project AIEE-UAV under Grant 2022.03897.PTDC,CEECINST/00002/2021/CP2788/CT0003 and COPELABS under Grant UIDB/04111/2020 and by the European Commission via Marie Skłodowska-Curie Actions(MSCA)as part of the Project REMARKABLE under Grant 101086387. （SPARC）
