Introduces AIW-Meta-SAC for joint optimization of beamforming and configuration in FIM-assisted BS with STAR-BD-RIS and NOMA to maximize energy efficiency, outperforming Meta-DDPG in simulations.
Meta-Learning for Resource Allocation in Uplink Multi-Ac tive STAR- RIS-Aided NOMA System
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Resource Allocation and Beamforming in FIM-Assisted BS and STAR-BD-RIS-Aided NOMA: An AIW-Meta-Learning Approach
Introduces AIW-Meta-SAC for joint optimization of beamforming and configuration in FIM-assisted BS with STAR-BD-RIS and NOMA to maximize energy efficiency, outperforming Meta-DDPG in simulations.