[HTML][HTML] Maximizing throughput in NOMA-enable industrial IoT networks using digital twin and reinforcement learning

SR Jeremiah, D Camacho, JH Park - Journal of Advanced Research, 2024 - Elsevier
Introduction Increased deployment of heterogeneous and complex Industrial Internet of
Things (IIoT) applications such as predictive maintenance and asset tracking places a …

Deep reinforcement learning-based computation offloading and optimal resource allocation in industrial Internet of Things with NOMA

H Gao, X Guo - 2022 11th International Conference on …, 2022 - ieeexplore.ieee.org
Multi-access mobile edge computing is considered as an important way to enable
computationally intensive but latency-sensitive services in the future industrial IoT. In this …

Joint computation offloading and resource allocation for NOMA-enabled industrial Internet of things

P Zhou, B Yang, C Chen - 2020 39th Chinese Control …, 2020 - ieeexplore.ieee.org
In Industrial Internet of Things (IIoT), in order to satisfy the requirements of delay-sensitive
service, devices with limited computing resources could offload computing task to edge …

Delay minimization for NOMA-enabled mobile edge computing in industrial Internet of Things

W Noh, S Cho - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
Mobile edge computing and nonorthogonal multiple access (NOMA) have been considered
as promising technologies that can satisfy rigorous requirements of industrial Internet of …

Digital Twin and Meta RL Empowered Fast-Adaptation of Joint User Scheduling and Task Offloading for Mobile Industrial IoT

H Xu, J Wu, Q Pan, X Liu… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
The industrial Internet of Things (IoT) system is integrated with the emerging artificial
intelligence (AI) paradigms to empower industrial automation and self-evolving capabilities …

NOMA assisted multi-task multi-access mobile edge computing via deep reinforcement learning for industrial Internet of Things

L Qian, Y Wu, F Jiang, N Yu, W Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key
approaches for enabling computation-intensive yet delay-sensitive services in future …

Deep reinforcement learning-based task scheduling and resource allocation for NOMA-MEC in Industrial Internet of Things

L Lin, W Zhou, Z Yang, J Liu - Peer-to-Peer Networking and Applications, 2023 - Springer
Abstract Mobile Edge Computing (MEC) and Non-Orthogonal Multiple Access (NOMA) have
been treated as promising technologies to process the delay-sensitive tasks in the Industrial …

Competitive algorithms and reinforcement learning for NOMA in IoT networks

Z Mlika, S Cherkaoui - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
This paper studies the problem of massive Internet of things (IoT) access in beyond fifth
generation (B5G) networks using non-orthogonal multiple access (NOMA) technique. The …

Digital twin-assisted edge computation offloading in industrial Internet of Things with NOMA

L Zhang, H Wang, H Xue, H Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Integrating digital twins (DTs) and multi-access edge computing (MEC) is a promising
technology that realizes edge intelligence in 6 G, which has been recognized as the key …

Optimal SIC ordering and computation resource allocation in MEC-aware NOMA NB-IoT networks

LP Qian, A Feng, Y Huang, Y Wu… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) and mobile edge computing (MEC) have been
emerging as promising techniques in narrowband Internet of Things (NB-IoT) systems to …