IRS assisted NOMA aided mobile edge computing with queue stability: Heterogeneous multi-agent reinforcement learning

J Yu, Y Li, X Liu, B Sun, Y Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
By employing powerful edge servers for data processing, mobile edge computing (MEC) has
been recognized as a promising technology to support emerging computation-intensive …

[HTML][HTML] 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
Non-orthogonal multiple access (NOMA) is considered a potential technique in fifth-
generation (5G). Nevertheless, it is relatively complex when applying NOMA to a massive …

Joint power allocation and channel assignment for NOMA with deep reinforcement learning

C He, Y Hu, Y Chen, B Zeng - IEEE Journal on Selected Areas …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has been considered as a significant candidate
technique for the next generation wireless communication to support high throughput and …

Resource allocation for energy-efficient MEC in NOMA-enabled massive IoT networks

B Liu, C Liu, M Peng - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) into the Internet of Things (IoT) enables the IoT
devices of limited computation capabilities and energy to offload their computation-intensive …

Stackelberg game for user clustering and power allocation in millimeter wave-NOMA systems

K Wang, J Cui, Z Ding, P Fan - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
In this paper, the joint design of user clustering and power allocation is investigated in a
downlink non-orthogonal multiple access-based millimeter wave (mm-wave-NOMA) system …

Energy-efficient joint user-RB association and power allocation for uplink hybrid NOMA-OMA

M Zeng, A Yadav, OA Dobre… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In this paper, energy efficient resource allocation is considered for an uplink hybrid system,
where non-orthogonal multiple access is integrated into orthogonal multiple access (OMA) …

Deep neural network for resource management in NOMA networks

N Yang, H Zhang, K Long, HY Hsieh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Resource management plays a crucial role in improving sum rate of non-orthogonal multiple
access (NOMA) networks. However, the traditional resource management methods have …

Deep cognitive perspective: Resource allocation for NOMA-based heterogeneous IoT with imperfect SIC

M Liu, T Song, G Gui - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) has attracted significant attentions in the fifth generation mobile
networks and the smart cities. However, considering the large numbers of connectivity …

Energy-efficient resource allocation for NOMA based small cell networks with wireless backhauls

AJ Muhammed, Z Ma, Z Zhang, P Fan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we consider a downlink non-orthogonal multiple access (NOMA) enabled
heterogeneous small cells network (HSCN), where the macro base station simultaneously …

No-pain no-gain: DRL assisted optimization in energy-constrained CR-NOMA networks

Z Ding, R Schober, HV Poor - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper applies machine learning to optimize the transmission policies of cognitive radio
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …