Reconfigurable intelligent surface assisted non-orthogonal multiple access network based on machine learning approaches

S Fu, Y Wang, X Feng, B Di, C Li - IEEE Network, 2023 - ieeexplore.ieee.org
In the upcoming beyond fifth-generation (B5G), the surging demand on high network
capacity and numerous access devices can hardly be satisfied by the scarce spectrum …

A state-of-the-art survey on reconfigurable intelligent surface-assisted non-orthogonal multiple access networks

Z Ding, L Lv, F Fang, OA Dobre… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) and nonorthogonal multiple access (NOMA) have
been recognized as key enabling techniques for the envisioned sixth generation (6G) of …

Mobile reconfigurable intelligent surfaces for NOMA networks: Federated learning approaches

R Zhong, X Liu, Y Liu, Y Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A novel framework of reconfigurable intelligent surfaces (RISs)-enhanced indoor wireless
networks is proposed, where an RIS mounted on the robot is invoked to enable mobility of …

Deep learning-aided constellation design for downlink NOMA

L Jiang, X Li, N Ye, A Wang - 2019 15th International Wireless …, 2019 - ieeexplore.ieee.org
Massive connectivity is one of the most challenging issues for Internet of Things (IoT) to
achieve the quality of service provisions required by the numerous IoT devices. Non …

Downlink analysis for reconfigurable intelligent surfaces aided NOMA networks

C Zhang, W Yi, Y Liu, Z Qin… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
By activating blocked users and altering successive interference cancellation (SIC)
sequences, reconfigurable intelligent surfaces (RISs) become promising for enhancing non …

RIS-assisted NOMA with interference-cancellation and interference-alignment scheme

BYD Rito, KH Li - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a cost-effective method to enhance the end-to-
end wireless channel. Meanwhile, Non-Orthogonal Multiple Access (NOMA) improves the …

AI empowered RIS-assisted NOMA networks: Deep learning or reinforcement learning?

R Zhong, Y Liu, X Mu, Y Chen… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
A reconfigurable intelligent surface (RIS)-assisted multi-user downlink communication
system over fading channels is investigated, where both non-orthogonal multiple access …

Artificial intelligence enabled NOMA toward next generation multiple access

X Xu, Y Liu, X Mu, Q Chen, H Jiang… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
This article focuses on the application of artificial intelligence (AI) in non-orthogonal multiple
access (NOMA), which aims to achieve automated, adaptive, and high-efficiency multi-user …

DeepNOMA: A unified framework for NOMA using deep multi-task learning

N Ye, X Li, H Yu, L Zhao, W Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) will provide massive connectivity for future Internet
of Things. However, the intrinsic non-orthogonality in NOMA makes it non-trivial to approach …

[HTML][HTML] A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends

SAH Mohsan, Y Li, AV Shvetsov, J Varela-Aldás… - Sensors, 2023 - mdpi.com
Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …