The paper derives alternating QCQP-based optimization and a model-driven neural network for RIS phase and precoder design under reradiation mask constraints in a multi-user MIMO downlink.
Multibeam beamforming design in RIS-aided SISO communications subject to reradiation masks — optimization and machine learning methods,
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Multi-beam Beamforming in RIS-aided MIMO Subject to Reradiation Mask Constraints -- Optimization and Machine Learning Design
The paper derives alternating QCQP-based optimization and a model-driven neural network for RIS phase and precoder design under reradiation mask constraints in a multi-user MIMO downlink.