Grant-free non-orthogonal multiple access (NOMA) is highly expected to support massive
connectivity and reduce the transmission latency for future wireless communications. In this …

Non-orthogonal multiple access (NOMA) on shared resources has been identified as a
promising technology in 5G to improve resource efficiency and support massive access in all …

Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …

In this paper, we propose a novel intelligent successive interference cancellation (SIC)
detection algorithm, namely I-SIC, for the uplink non-orthogonal multiple access (NOMA) …

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

Exploiting the sparse nature of user activity, compressed sensing (CS) has been a powerful
technique to realize efficient user detection in grant-free nonorthogonal multiple access …

We propose a joint channel estimation and signal detection technique for the uplink non-
orthogonal multiple access using an unsupervised clustering approach. We apply the …

In this paper, we propose a multi-user symbol detection in cooperative-non-orthogonal
multiple access (C-NOMA) schemes via deep learning (DL). We use a DL-based detection …

Non-orthogonal multiple access (NOMA) is a promising technique for future cellular
networks. A major challenge in the uplink of grant-free NOMA is to identify all active devices …

Given its capability in efficient radio resource sharing, non-orthogonal multiple access
(NOMA) has been identified as a promising technology in 5G to improve the system …