RS-BNN: A Deep Learning Framework for the Optimal Beamforming Design of Rate-Splitting Multiple Access
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY(2024)
Key words
Array signal processing,Optimization,Interference,Signal to noise ratio,Computational modeling,Computational complexity,Bridges,Rate-splitting multiple access (RSMA),deep learning,deep unfolding,beamforming design,neural network
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