Abstract Non-Orthogonal Multiple Access (NOMA) has already proven to be an effective
multiple access scheme for 5th Generation (5G) wireless networks. It provides improved …

Non-orthogonal multiple access (NOMA) has great potential to implement the fifth-
generation (5G) requirements of wireless communication. For a NOMA traditional detection …

Presently, Non-Orthogonal Multiple Access (NOMA) frequently uses Successive Interference
Cancellation (SIC) with channel estimation to detect the receivers' signal successfully …

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

Orthogonal frequency division multiplexing (OFDM), one of the most dominant technology
for fifth-generation (5G) wireless communication systems offers a high data rate with better …

In this article, a odel-driven signal detection method with deep transfer learning (DTL) is
proposed for downlink multiple-input multiple-output non-orthogonal multiple access (MIMO …

Deep learning (DL) techniques can significantly improve successive interference
cancellation (SIC) performance for the non-orthogonal multiple access (NOMA) system. The …

High effectiveness and high reliability are two fundamental concerns in data transmission.
Non-orthogonal multiple-access (NOMA) technology presents a promising solution for high …

This paper presents a massive multiple-input multiple-output (mMIMO) non-orthogonal
multiple access (NOMA) system's channel estimation and detection method which uses a …

In this paper, we propose a deep learning (DL) based receiver named comm-transformer
network (Comm-Trans Net), which is robust for different sub-types of tapped delay line (TDL) …