Deep reinforcement learning for resource allocation in multi-band and hybrid OMA-NOMA wireless networks

C Chaieb, F Abdelkefi, W Ajib - … on Communications, 2022 - ieeexplore.ieee.org
… a hybrid multiple access scheme where OMA and MSC-NOMA coexist. … hybrid OMANOMA
scheme is used, more users can be associated which illustrates the importance of NOMA

Channel assignment for hybrid NOMA systems with deep reinforcement learning

J Zheng, X Tang, X Wei, H Shen… - … Communications Letters, 2021 - ieeexplore.ieee.org
… Before introducing the technical details of the proposed method, we first illustrate the hybrid
NOMA system model. Fig. 1 depicts a typical downlink hybrid NOMA setting with one BS and …

Hybrid NOMA for future radio access: Design, potentials and limitations

K Deka, S Sharma - Wireless Personal Communications, 2022 - Springer
… Non-orthogonal multiple access (NOMA) is a promising … Therefore, this article explores
hybrid NOMA (HNOMA) for … The HNOMA includes both power domain and code domain NOMA

Deep reinforcement learning based beam selection for hybrid beamforming and user grouping in massive MIMO-NOMA system

I Ahmed, MK Shahid, T Faisal - IEEE Access, 2022 - ieeexplore.ieee.org
… selection and hybrid beamforming design problem for the MIMO-NOMA downlink system to
… -efficient beamspace MIMO-NOMA for millimeter-wave communications using lens antenna …

HyDNN: A Hybrid Deep Learning Framework Based Multiuser Uplink Channel Estimation and Signal Detection for NOMA-OFDM System

MH Rahman, MAS Sejan, MA Aziz, YH You… - IEEE …, 2023 - ieeexplore.ieee.org
… tion for radio frequency NOMA communication system. The … In the NOMA-OFDM based
communication systems, the … propose a hybrid (HyDNN) for multiuser uplink CE and SD in NOMA-…

Buffer-aided relay selection for cooperative hybrid NOMA/OMA networks with asynchronous deep reinforcement learning

C Huang, G Chen, Y Gong, P Xu, Z Han… - … in communications, 2021 - ieeexplore.ieee.org
learning algorithms in buffer-aided relay hybrid NOMA/OMA networks to achieve the long-term
performance. Reinforcement learning … in buffer-aided relay hybrid NOMA/OMA networks. …

Deep reinforcement learning for aerial data collection in hybrid-powered noma-iot networks

Z Zhang, C Xu, Z Li, X Zhao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
… Compared with orthogonal multiple access (OMA), NOMA can … Therefore, in UAV-supported
IoT networks, NOMA can be … Specifically, NOMA technology is used for communication

Hybrid NOMA/OMA-based dynamic power allocation scheme using deep reinforcement learning in 5G networks

HTH Giang, TNK Hoan, PD Thanh, I Koo - Applied Sciences, 2020 - mdpi.com
… Besides, the user-pairing approach was studied in many predefined power allocation
schemes in NOMA communication systems [24] in which internet of things (IoT) devices first …

Reinforcement learning based latency minimization in secure NOMA-MEC systems with hybrid SIC

K Wang, H Li, Z Ding, P Xiao - … on wireless communications, 2022 - ieeexplore.ieee.org
In this paper, physical layer security (PLS) in a non-orthogonal multiple access (NOMA)-based
mobile edge computing (MEC) system is investigated, where hybrid successive …

A BAC-NOMA Design for 6 G umMTC With Hybrid SIC: Convex Optimization or Learning-Based?

S Jiao, X Xie, K Wang, Z Ding - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
… -NOMA-enabled deviceto-device (D2D) communications to … -based D2D communications
inspires us to use hybrid SIC to … the transcendental function and hybrid SIC discretizes the …