… harvesting mechanism under imperfect successive interference … networks, we design a deep
learning framework for the sum-… are evaluated and discussed along with numerical results. …

… For performance evaluation, we consider two different cases: for Case 1 (resp. Case 2), the
constellations of users 1,...,K − 1 are set to the binary phase shift keying (BPSK) [resp. the 16-…

… evaluation. Both RMSE and MAE are determined by the value results of the simulation and
the predicted results of DMNN and other machine learning … ), support vector machine (SVM), …

… Through a low-latency inference process in (41), the OP/throughput can be predicted by
the resulting deep model in a short time with highly accurate prediction. We evaluate the …

… the impact of imperfect SIC in practical systems, In this paper, we apply the deep learning to
… Finally, We evaluate the performance metric of the trained DNN and compare it with that of …

… SIC is compared with RNN based DL/ML model for NOMA detection in [37] and it is shown
that the deep learning … performance evaluation through MATLAB simulation to evaluate the …

… performance evaluation … imperfect SIC condition, and deal with the mutual interference
between the MUs and IoTUs. If we define κ as the residual power parameter for the imperfect SIC, …

… of non-ideal system imperfections such as ISIC, CEEs, and HIs… of non-ideal system
imperfections on the practical design of … -ideal system imperfections such as LI in FD operation, …

… In this paper, Neural Network (NN) methods are used to overcome imperfect SIC in a NOMA
… proposed contributions are as follows: • NOMA based VLC system is analyzed to evaluate …

… (ESC) prediction under imperfect SIC and imperfect CSI of … • Firstly, we present the
performance evaluation of downlink … the impact of imperfect SIC and imperfect CSI of interference …