Massive machine-type communication (MMTC) is an essential element for realizing the
Internet of Things (IoT). However, certain challenges arise because MMTC should support a …

In this work, the long short-term memory (LSTM) based deep learning (DL) non-orthogonal
multiple access (NOMA) receivers are investigated over the Rayleigh fading channel …

Non-orthogonal multiple access (NOMA) technique has drawn much attention in recent
years. It has also been a promising technique for the fifth-generation (5G) wireless …

The closed-form formula derivation of the power domain cooperative Non-Orthogonal
Multiple Access (NOMA) system is of great significance for further improving the …

This study presents a layered generalization ensemble model for next generation radio
mobiles, focusing on supervised channel estimation approaches. Channel estimation …

Abstract Machine learning (ML) has been suggested as a promising tool in the design of
telecommunication systems to overcome the challenges of traditional methods and meet the …

NOMA techniques have attracted much attention due to their ability to support massive
connectivity, heterogeneous data traffic, and ultra-low latency requirements, making them …

Non-orthogonal multiple access (NOMA) is a promising radio access technique for 5th
generation (5G) communication systems. In order to enhance the performance of NOMA …

This paper presents the bit error rate (BER) evaluation of downlink power-domain
nonorthogonal multiple access (NOMA) systems in hyper-Rayleigh fading channels. Hyper …

Non-Orthogonal Multiple Access (NOMA) is superposition based multi-user transmission
technique in which multiple users' transmissions can be superimposed on each other …