… considered as an essential multiple access technique for enhancing system capacity and …
To break this fundamental limit, in this paper, we propose a novel and effective deep learning (…

… To improve the performance of HMAS, we propose two deep learning-based detectors
via deep neural network (DNN) models, one for NUs symbol detection, and the other for FUs …

In this paper, a deep learning-based successive interference cancellation (SIC) scheme for
use in nonorthogonal multiple access (NOMA) communication systems is investigated. …

… density code multiple access (MCMA) is presented. We also propose a new deep learning-based
… a new nonorthogonal multiple access scheme dubbed moderate-density code multiple …

… [14] provided a learning based power control scheme for NORA based on timing … schemes
are required. As one of solutions, we can utilize a preamble collision resolution scheme for …

… Due to the advancement of deep learning, numerous such … of 5G communications research
using deep learning. Specifically, … Hong, “A hybrid multiple access scheme via deep learning-…

… Over the last years, we have seen more and more technologies using TDMA schemes…
access protocols without time synchronisation. Other protocols use techniques of Random Access …

… access (PDMA), and non-orthogonal multiple access (NOMA) [1]. Sparse code multiple access
(SCMA) is one promising NOMA scheme … orthogonal multiple access (OMA) schemes in …

… deep learning techniques to joint multiuser detection and decoding of non-orthogonal multiple
access … In this paper, we proposed a scheme of joint detection and decoding of NOMA …

… However, in practical RA procedure, the nodes can only access to the partial information of
the CSI, in … To tackle this challenge, we propose a deep learning (DL)-based TPC scheme for …