4 papers
Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks
Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu
The growing demand for wireless connectivity, combined with limited spectrum resources, calls for more efficient spectrum management. Spectrum sharing is a promising approach; howe…
Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
Mohamad Alkadamani, Amir Ghasemi, Halim Yanikomeroglu
In the diverse landscape of 6G networks, where wireless connectivity demands surge and spectrum resources remain limited, flexible spectrum access becomes paramount. The success of…
A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks
Mohamad Alkadamani, Halim Yanikomeroglu, Amir Ghasemi
The surge in wireless connectivity demand, coupled with the finite nature of spectrum resources, compels the development of efficient spectrum management approaches. Spectrum shari…
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…