Mohamad Alkadamani
Orcid: 0009-0004-7399-5202
According to our database1,
Mohamad Alkadamani authored at least 11 papers
between 2017 and 2026.
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Bibliography
2026
Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks.
CoRR, March, 2026
CoRR, March, 2026
AI-Enhanced Spatial Cellular Traffic Demand Prediction With Contextual Clustering and Error Correction for 5G/6G Planning.
IEEE Wirel. Commun. Lett., 2026
2025
Spectrum efficiency through data: A methodology for evaluating local licensing strategies.
Comput. Networks, 2025
A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks.
Proceedings of the 2025 IEEE Global Communications Conference, 2025
2024
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Geospatial Insights in Spectrum Management: An Adaptive Data-Driven Licensing Approach.
Proceedings of the IEEE International Conference on Communications Workshops, 2024
Towards Efficient Spectrum Management: A Data-driven Assessment Framework for Local Licensing.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024
2019
Multi-Cluster Frequency Correlation Modelling for Tactical VHF Channels in Mountainous Terrain.
Proceedings of the 2019 IEEE Military Communications Conference, 2019
2018
Proceedings of the 2018 IEEE Military Communications Conference, 2018
2017
Radio-Propagation-Measurement-Based Simulations of the Capacity of Multi-User D-MIMO Indirect Path Communication Systems in a Small Cluttered Room at 2, 18, and 28 GHz.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017