Traditional non-orthogonal multiple access (NOMA) applies the Successive Interference
Cancellation (SIC) approach to decode the signal superimposed by different users, which is …

This paper presents an initial investigation of deep learning (DL) for multi-user detection in
non-orthogonal multiple access (NOMA) wireless systems. In NOMA systems, the …

This paper introduces a novel deep learning (DL) based successive interference
cancellation (SIC) scheme for an uplink multiple-input multiple-output non-orthogonal …

Non-Orthogonal Multiple Access (NOMA) enables superposition of user signals in power
domain. Combining NOMA with Multiple-input Multiple-output (MIMO) technology can …

This paper proposes a deep learning-based receiver scheme with soft information for uplink
multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) systems …

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

This paper presents a the performance of deep learning (DL) in joint channel estimation and
multi-user detection in non-orthogonal multiple access (NOMA) based multiple-input …

With the development of mobile communications and the Internet of Things, non-orthogonal
multiple access (NO-MA) may be one of the candidates for 5G. In the uplink NOMA system …

As a candidate technology of B5G cellular Internet of Things (IoT), grant-free non-orthogonal
multiple access (NOMA) has arisen worldwide concerns. However, the non orthogonality …

Recently, non-orthogonal multiple access (NOMA) has become prevalent in 5G
communication. However, the traditional successive interference cancellation (SIC) …