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eess.SY2026
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
Mohamad Alkadamani, Halim Yanikomeroglu
Fine-grained mobile traffic demand forecasting is essential for long-term planning of 5G and future 6G networks, including radio upgrades, site densification, backhaul expansion, a…
eess.SY2026
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…
eess.SY2026
AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
Colin Brown, Mohamad Alkadamani, Halim Yanikomeroglu
Accurately forecasting spectrum demand is a key component for efficient spectrum resource allocation and management. With the rapid growth in demand for wireless services, mobile n…