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Mohamad Alkadamani

Observed name: Alkadamani, Mohamad
ORCID: 0009-0004-7399-5202
Observed ORCID: 0009-0004-7399-5202
OpenAlex ID: A5002292993
Geospatial Analysis of Future Spectrum Requirements for 5G FWA Systems
2023 · Colin Brown, Janaki Parekh, et al. · IEEE Future Networks World Forum (FNWF) · 3
Towards Efficient Spectrum Management: A Data-driven Assessment Framework for Local Licensing
2024 · Kareem Baddour, Mohamad Alkadamani, et al. · IEEE International Symposium on Dynamic Spectrum Access Networks · 2
Frequency Correlation Modelling for Tactical VHF Channels in Mountainous Terrain
2018 · Jeff Pugh, Mohamad Alkadamani, et al. · IEEE Military Communications Conference (MILCOM) · 2
Spectrum efficiency through data: A methodology for evaluating local licensing strategies
2025 · Mohamad Alkadamani, Colin Brown, et al. · Computer Networks · 1
Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
2024 · Mohamad Alkadamani, Amir Ghasemi, et al. · IEEE Vehicular Technology Conference · 1
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Geospatial Insights in Spectrum Management: An Adaptive Data-Driven Licensing Approach
2024 · Colin Brown, Humphrey Rutagemwa, et al. · IEEE International Conference on Communications workshops · 1
Multi-Cluster Frequency Correlation Modelling for Tactical VHF Channels in Mountainous Terrain
2019 · Mohamad Alkadamani, Colin Brown, et al. · IEEE Military Communications Conference (MILCOM) · 1
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
2017 · Robert J. C. Bultitude, Mohamad Alkadamani · IEEE Vehicular Technology Conference · 1
TD-STGT: A Spatio-Temporal Graph Transformer for Mobile Traffic Demand Forecasting
2026 · Alkadamani, Mohamad, Yanikomeroglu, Halim · arXiv (Cornell University)
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Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks
2026 · Alkadamani, Mohamad, Ghasemi, Amir, et al. · arXiv (Cornell University)
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Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand
2026 · Alkadamani, Mohamad, Ghasemi, Amir, et al. · arXiv (Cornell University)
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AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation
2026 · Brown, Colin, Alkadamani, Mohamad, et al. · arXiv (Cornell University)
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AI-Enhanced Spatial Cellular Traffic Demand Prediction With Contextual Clustering and Error Correction for 5G/6G Planning
2026 · Mohamad Alkadamani, Colin Brown, et al. · IEEE Wireless Communications Letters
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A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks
2025 · Mohamad Alkadamani, Halim Yanikomeroglu, et al. · Globecom
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AI-Enhanced Spatial Spectrum Demand Prediction with Contextual Clustering and Error Correction
2025 · Mohamad Alkadamani, Colin Brown, et al.
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A Radio-Propagation-Measurement-Based Study of the Capacity of Multi-User Distributed-MIMO Indoor Channels at 18 and 28 GHz
2019 · Mohamad Alkadamani
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Works count: 16
Citation count: 12
H-index: 2
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