Mohamad Alkadamani

Orcid: 0009-0004-7399-5202

According to our database1, Mohamad Alkadamani authored at least 11 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks.
CoRR, March, 2026

AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation.
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
Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand.
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
Frequency Correlation Modelling for Tactical VHF Channels in Mountainous Terrain.
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


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