Preprint
Aug 2026
DeepHSIC: Deep Learning-based Signal Detector for Hybrid Downlink IM-NOMA
Simulation results indicate that learned SIC-style detection is a practical candidate for scalable hybrid downlink IM-NOMA receivers and reaches BER performance close to model-based detectors under both perfect and imperfect CSI while requiring substantially lower detection time.
Dung Nguyen Tran, Toan D. Gian, Tien-Hoa Nguyen et al.
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