Towards intelligent user clustering techniques for non-orthogonal multiple access: a survey

SM Hamedoon, JN Chattha, M Bilal - EURASIP Journal on Wireless …, 2024 - Springer
With the increasing user density of wireless networks, various user partitioning techniques or
algorithms segregate users into smaller, more manageable clusters. The benefit of user …

Efficient user clustering using a low-complexity artificial neural network (ANN) for 5G NOMA systems

SP Kumaresan, CK Tan, YH Ng - IEEE Access, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has gained considerable interest from the 3GPP
community as a potential radio access strategy for the future fifth-generation (5G) wireless …

Deep neural network (DNN) for efficient user clustering and power allocation in downlink non-orthogonal multiple access (NOMA) 5G networks

SP Kumaresan, CK Tan, YH Ng - Symmetry, 2021 - mdpi.com
Non-orthogonal multiple access (NOMA) emerges as a promising candidate for 5G, which
radically alters the way users share the spectrum. In the NOMA system, user clustering (UC) …

Extreme learning machine (ELM) for fast user clustering in downlink non-orthogonal multiple access (NOMA) 5G networks

SP Kumaresan, CK Tan, YH Ng - IEEE Access, 2021 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has been envisaged as a successor of orthogonal
multiple access (OMA) in the fifth generation (5G) networks and beyond because NOMA has …

A novel user clustering and efficient resource allocation in non-orthogonal mutliple access for IoT networks

SM Hamedoon, JN Chattha, M Bilal - PloS one, 2024 - journals.plos.org
Optimal resource allocation is crucial for 5G and beyond networks, especially when
connecting numerous IoT devices. In this paper, user clustering and power allocation …

Neural network aided user clustering in mmWave-NOMA systems with user decoding capability constraints

AS Rajasekaran, H Yanikomeroglu - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a computationally efficient two-stage machine learning based
approach using neural networks to solve the cluster assignment problem in a millimeter …

Utilizing Non-Orthogonal Multiple Access for Both Latency and Energy Efficiency Improvement in TSCH-Based WSNs

N Gholami, N Moghim, M Ghazvini, S Haghani - IEEE Access, 2022 - ieeexplore.ieee.org
Non-Orthogonal Multiple Access (NOMA) is one of the promising technologies for wireless
communication networks. Although NOMA was originally proposed in cellular networks, due …

[PDF][PDF] An efficient stacked-LSTM based user clustering for 5G NOMA systems

SP Kumaresan, CK Tan, YH Ng - Comput. Mater. Contin, 2022 - researchgate.net
Non-orthogonal multiple access (NOMA) has been a key enabling technology for the fifth
generation (5G) cellular networks. Based on the NOMA principle, a traditional neural …

NOMA Integrated with Enabling Technologies and Practical Challenges

A Rajasekaran - 2023 - repository.library.carleton.ca
Non-orthogonal multiple access (NOMA) schemes allow multiple users to share the same
resource and separate the users in either the power-domain (PD-NOMA) or in the code …

Clusterização adaptativa de usuários NOMA no domínio da potência

YP Santos - 2023 - repositorio.ufrn.br
Por meio da técnica de Acesso Múltiplo Não-Ortogonal (NOMA, Non-Orthogonal Multiple
Access) pretende-se viabilizar a transmissão de dois ou mais usuários compartilhando os …