Cost-Effective Federated Learning-Based Approach for SINR Prediction in Cellular-Connected UAVsOA
Cost-Effective Federated Learning-Based Approach for SINR Prediction in Cellular-Connected UAVs
Ibrahem Mouhamad;Dushantha Nalin K.Jayakody;Dejan Vukobratovic
School of Computer Science and Robotics,National Research Tomsk Polytechnic University,Tomsk 634050,RussiaCOPELABS,Lusófona University,Lisbon 1749-024,PortugalFaculty of Technical Sciences,University of Novi Sad,Novi Sad 21000,Serbia
federated learningunmanned aerial vehi-cleconvolutional neural networkray-tracingsignal-to-interference-plus-noise ratio
federated learningunmanned aerial vehi-cleconvolutional neural networkray-tracingsignal-to-interference-plus-noise ratio
《通信与信息网络学报（英文）》 2024 (4)
374-389,16
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.
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