A decomposed iterative algorithm for SIM-aided ISAC resource allocation yields up to 230% higher energy efficiency than a no-SIM baseline while meeting heterogeneous QoS for communications and sensing with fewer antennas.
Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond: A deep reinforcement learning based approach
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Resource Allocation and AoI-Aware Detection for ISAC with Stacked Intelligent Metasurfaces
A decomposed iterative algorithm for SIM-aided ISAC resource allocation yields up to 230% higher energy efficiency than a no-SIM baseline while meeting heterogeneous QoS for communications and sensing with fewer antennas.