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Bounded Residual Feature-wise Linear Modulation (BR-FiLM), a channel-quality conditioning block for AMR, which can be inserted into AMR classifiers with intermediate feature representations is proposed, as validated through paired statistical testing.
Simulation results indicate that the proposed E2E-CsiNet outperforms representative CSI feedback methods and deep learning–based end-to-end estimation and feedback baselines and achieves superior accuracy in CSI reconstruction.
In large-scale reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) systems, achieving energy-efficient communication while obtaining full channel state information (CSI) is challenging due to prohibitive pilot overhead. The joint CSI estimation and RIS phase shift prediction pose a t...
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