… estimation and channel quantization affect the performance … NOMA implementation. In the
first part, we mainly concentrate on the analysis of the effect of channel estimation and channel …

… This paper proposes a deep learning (DL)-based joint channel estimation … channel estimation
and signal detection for multi-user downlink OFDM-NOMA over Rayleigh fading channels …

… access (NOMA) system. The NOMA-orthogonal frequency division multiplexing (OFDM) …
network (HyDNN) model for multiuser uplink channel estimation (CE) and signal detection (…

… In this paper, an uplink OFDM based NOMA with channel estimation problem has … channel,
an efficient iterative method has been derived and implemented for an OFDM based NOMA …

… In this work, NOMA-OFDM channel estimation and signal detection are carried out for two
users considering the deep neural network. It is observed that in the case of fading …

… (DL) aided receiver for NOMA joint signal detection. The DL-… of channel estimation,
equalization, and demodulation. Compared with the traditional signal detection method for the …

… As the activity detection depends on the accuracy of channel estimation, we focus on our
proposal with update rule of [3] and ML. As seen from the figure, the accuracy of activity …

… Especially, we focus on their performance in uplink with a real channel estimator, by exploiting
… an initial channel estimation. Furthermore, iterative channel estimation is considered by …

… As correct estimation of the channel and CFO is crucial for OFDM-NOMA, we will consider
… of channel and CFO estimation errors in order to decide the best pre-coding technique for …

… channel estimation method using a convolutional long-short term memory (CNN-LSTM) model
for RIS-NOMA … Zhang, ‘‘Intelligent reflecting surface-enhanced OFDM: Channel estimation …