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Open access Jul 2026

Deep Learning-Based Detection Algorithm for the Multi-User MIMO-NOMA System

This work proposes a feedback-based deep neural network receiver for signal detection in MIMO-NOMA systems that integrates deep learning capabilities with iterative interference cancellation, enabling improved nonlinear signal separation and robustness against noise and inter-user interference.

D. Sharma, Nidhi Sisodiya · 0 citations

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