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.
Rate-splitting multiple access for RIS-aided cell-edge users with discrete phase-shifts,
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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.