RISE Research Radar

Computer Science Open House 2022-2025

2023

Machine Learning for Combinatorial Resource Allocation

Daniel F. Perez-Ramirez, Dejan Kostic, Magnus Boman, Nicolas Tsiftes

Summary

Machine Learning for Combinatorial Resource Allocation (ML4COP). Using ML to reduce optimality gap in resource allocation for networked systems. DeepGANTT: Scalable ML scheduler for backscatter networks using Graph Neural Networks and Transformers. Achieves 12% energy savings compared to heuristic.

Themes

machine-learningwireless-networks

Keywords

resource allocation, combinatorial optimization, GNN, transformers, backscatter networks, IoT

Poster

Machine Learning for Combinatorial Resource Allocation poster

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