The paper develops independent and joint scheduling policies for collaborative ISAC that maximize discriminant gain for classification while respecting energy and eMBB constraints, outperforming baselines especially when devices are correlated.
G´en´eralisation du th´eor`eme des probabilit´es totales
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Goal-oriented Resource Allocation for Collaborative Integrated Sensing and Communication
The paper develops independent and joint scheduling policies for collaborative ISAC that maximize discriminant gain for classification while respecting energy and eMBB constraints, outperforming baselines especially when devices are correlated.