A Machine-Learning-Based Blind Detection on Interference Modulation Order in NOMA Systems
A Machine-Learning-Based Blind Detection on Interference Modulation Order in NOMA Systems is a scholarly work, published in 2018 in ''IEEE Communications Letters''. The main subjects of the publication include diabetic retinopathy, modulation, noma, artificial intelligence, computer science, Single antenna interference cancellation, blind equalization, interference, Multiuser detection, -, pattern recognition, and algorithm. To evaluate the performance of blind detection, the detection rate and the throughput are simulated under different scenarios.