Enhancing GF-NOMA Spectral Efficiency under Imperfections using Deep Reinforcement Learning

A Alajmi, A Ghandoura - IEEE Communications Letters, 2024 - ieeexplore.ieee.org
In this letter, we present a deep reinforcement learning (DRL) based multi-carrier grant-free
(GF) non-orthogonal multiple access (NOMA) scheme for Internet of Things networks to …
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Hybrid Multiple Access Resource Allocation based on Multi-agent Deep Transfer Reinforcement Learning

Y Zhang, X Wang, D Li, Y Xu - 2022 IEEE 95th Vehicular …, 2022 - ieeexplore.ieee.org
In order to reduce the consumption cost for successive interference cancellation in non-
orthogonal multiple access (NOMA), we propose a resource allocation scheme that involves …
被引用次数：2 相关文章

Reinforcement Learning Based Joint Resource Allocation and User Fairness Optimization in mmWave-NOMA HetNets

S Sobhi-Givi, M Nouri, MG Shayesteh… - 2023 31st …, 2023 - ieeexplore.ieee.org
In this paper, we propose heterogeneous network (HetNet) with mmWave and hybrid non-
orthogonal multiple access (NOMA) and orthogonal multiple access (OMA) transmission …
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Learning driven resource allocation and SIC ordering in EH relay aided NB-IoT networks

LP Qian, C Yang, H Han, Y Wu… - IEEE Communications …, 2021 - ieeexplore.ieee.org
Integrating the energy-harvesting (EH) relay and non-orthogonal multiple access (NOMA)
technologies into narrow band internet of things (NB-IoT) networks can efficiently improve …
被引用次数：9 相关文章 所有 3 个版本

Application of deep learning to energy-efficient power allocation scheme for 5G SC-NOMA system with imperfect SIC

W Saetan, S Thipchaksurat - 2019 16th International …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is a multiuser access technique for 5G
communication system, which has drawn more attention from both academia and industry …
被引用次数：16 相关文章

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

C Chaieb, F Abdelkefi, W Ajib - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Exploiting the advantages of both non-orthogonal multiple access technique and millimeter-
wave communications requires joint efficient resource allocation techniques toward …
被引用次数：23 相关文章

Energy-efficient power allocation and user-channel assignment for NOMA heterogeneous ultra-dense network

A Khodmi, SB Rejeb, N Agoulmine… - 2020 IEEE 31st …, 2020 - ieeexplore.ieee.org
This paper investigates joint user-channel assignment and energy-efficient power allocation
problems for OFDM based Non Orthogonal multiple access (NOMA) Heterogeneous ultra …
被引用次数：5 相关文章 所有 3 个版本

Joint user-channel assignment and power allocation for non-orthogonal multiple access in a 5G heterogeneous ultra-dense networks

A Khodmi, SB Rejeb, N Agoulmine… - … and Mobile Computing …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is one of the various techniques that attracted
extensive attention due to its superior spectrum efficiency. In this paper, joint access and …
被引用次数：9 相关文章 所有 5 个版本

Adaptive NGMA Scheme for IoT Networks: A Deep Reinforcement Learning Approach

Y Zou, W Yi, X Xu, Y Liu, KK Chai… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
An adaptive next generation multiple access (NGMA) downlink scheme is provided, where
non-orthogonal multiple access (NOMA) and space division multiple access (SDMA) users …
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Efficient power allocation for MIMO CR-NOMA networks

S Abidrabbu, H Arslan - 2021 IEEE 94th Vehicular Technology …, 2021 - ieeexplore.ieee.org
Cognitive radio-based non-orthogonal multiple access (CR-NOMA) is considered to be one
of the promising multiple accessing technique candidates for 5G and beyond networks …
被引用次数：3 相关文章 所有 3 个版本