This study analyses the performance of the stacked long short-term memory (S-LSTM)-
based non-orthogonal multiple access (NOMA) system under independent and non …

This study investigates non-orthogonal multiple access (NOMA) receivers based on deep
learning (DL) employing the long-short term memory technique (LSTM) over frequency-flat …

The inability of conventional orthogonal multiple access (OMA) techniques to guarantee a
low latency rate, high spectral efficiency, massive device connectivity, and a better quality of …

In this work, the deep learning (DL)-based fifth-generation (5G) non-orthogonal multiple
access (NOMA) detector is investigated over the independent and identically distributed (iid) …

As a key important approach for next generation communication systems, Non-Orthogonal
Multiple Access (NOMA) has made high attention in the wireless communication. NOMA …

The potential of the Non-Orthogonal Multiple Access (NOMA) approach for wireless
communications in the fifth generation (5G) and beyond can not be underestimated. This is …

This work examines the efficacy of deep learning (DL) based non-orthogonal multiple
access (NOMA) receivers in vehicular communications (VC). Analytical formulations for the …

Non-Orthogonal Multiple Access (NOMA) has been recommended as a feasible multiple
access technique that satisfies the constraints of Fifth-generation (5G) communications …

Nonorthogonal multiple access (NOMA) has been considered as an essential multiple
access technique for enhancing system capacity and spectral efficiency in future …

Non-orthogonal multiple access (NOMA) techniques have drawn much attention for massive
connectivity, heterogeneous data traffic with ultra-low latency requirements, and ultra-high …