21 citations · 32 across the 10 of their papers we have counts for
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cs.LG2025
Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning
Amin Farajzadeh, Hongzhao Zheng, Sarah Dumoulin +3
Accurate spectrum demand prediction is crucial for informed spectrum allocation, effective regulatory planning, and fostering sustainable growth in modern wireless communication ne…
cs.LG2025★ 2 cited
Federated Learning in NTNs: Design, Architecture and Challenges
Amin Farajzadeh, Animesh Yadav, Halim Yanikomeroglu
Non-terrestrial networks (NTNs) are emerging as a core component of future 6G communication systems, providing global connectivity and supporting data-intensive applications. In th…