… a deep learning-based MIMO-NOMA framework for maximizing the sum data rate and energy
efficiency. To be specific, we design an effective communication deep … of the deep learning …

… NOMA system, we propose a novel scheme for the downlink of the MIMO-NOMA system
based on deep learning. In this scheme, both precoding and SIC decoding of the MIMO-NOMA …

… -input multiple-output (MIMO) systems on account of its … deep learning on other more
complicated NOMA techniques. Meanwhile, with the benefit of the MIMO technique, MIMO-NOMA …

… In this work we have investigated the applicability of deeplearning to node clustering in
MIMO-NOMA systems. Specifically, we have resorted to a feed-forward neural network to …

… In this study, a MIMO-NOMA system was optimized using a deep learning technique for
power allocation through a DNN-based model. To enhance the system’s performance, a hybrid …

… a novel deep learning (DL) based successive interference cancellation (SIC) scheme for an
uplink multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) system. …

… In this paper, we aim to use neural network to make processing of MIMO-NOMA to decode …
downlink MIMO-NOMA system with SIC. In section 3 we discuss how to build a deep learning-…

… to approach the secure capacity of the MIMO-NOMA channel within a practically acceptable
… DEEP LEARNING-BASED SOLUTION In this section, we build a supervised deep learning …

… (MIMO-NOMA) system. Each Signal Processing (SP) task can be approximated by a Deep
… This paper provides a review on the use of DL in SP blocks of downlink MIMO-NOMA system…

… This section introduces a feedback deep neural networks-based algorithm for MIMO-NOMA
detection. Initially, we establish the fundamental structure of the MIMO-NOMA system and …