Resource orchestration in network slicing using GAN-based distributional deep Q-network for industrial applications
Abstract The Industrial Internet of Things (IIoT) is an emerging and promising concept that
allows intelligent manufacturing through the connectivity of 5G/6G and the interaction of …
allows intelligent manufacturing through the connectivity of 5G/6G and the interaction of …
GAN-powered deep distributional reinforcement learning for resource management in network slicing
Network slicing is a key technology in 5G communications system. Its purpose is to
dynamically and efficiently allocate resources for diversified services with distinct …
dynamically and efficiently allocate resources for diversified services with distinct …
GAN-based deep distributional reinforcement learning for resource management in network slicing
Network slicing is a key technology in 5G communications system, which aims to
dynamically and efficiently allocate resources for diversified services with distinct …
dynamically and efficiently allocate resources for diversified services with distinct …
Deep federated Q-learning-based network slicing for industrial IoT
Fifth generation and beyond networks are envisioned to support multi industrial Internet of
Things (IIoT) applications with a diverse quality-of-service (QoS) requirements. Network …
Things (IIoT) applications with a diverse quality-of-service (QoS) requirements. Network …
[HTML][HTML] Network slicing for industrial IoT and industrial wireless sensor network: Deep federated learning approach and its implementation challenges
Abstract 5G networks are envisioned to support heterogeneous Industrial IoT (IIoT) and
Industrial Wireless Sensor Network (IWSN) applications with a multitude Quality of Service …
Industrial Wireless Sensor Network (IWSN) applications with a multitude Quality of Service …
Deep reinforcement learning with discrete normalized advantage functions for resource management in network slicing
Network slicing promises to provision diversified services with distinct requirements in one
infrastructure. Deep reinforcement learning (eg, deep Q-learning, DQL) is assumed to be an …
infrastructure. Deep reinforcement learning (eg, deep Q-learning, DQL) is assumed to be an …
Digital twin assisted resource allocation for network slicing in industry 4.0 and beyond using distributed deep reinforcement learning
L Tang, Y Du, Q Liu, J Li, S Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Personalization is one of the primary emerging trends in Industry 4.0 and Beyond. Highly
personalized services will present a significant challenge to the existing algorithms for …
personalized services will present a significant challenge to the existing algorithms for …
Oneshot Deep Reinforcement Learning Approach to Network Slicing for Autonomous IoT Systems
AKCS Boni, H Hassan, K Drira - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the emergence of the Internet of Things (IoT) services, meeting multiple and diverse
Quality of Service (QoS) requirements in networks has become a crucial issue. In the new …
Quality of Service (QoS) requirements in networks has become a crucial issue. In the new …
ARL-RA: efficient resource allocation in 5G edge networks: a novel intelligent solution using approximate reinforcement learning algorithm
M Khani, S Jamali, MK Sohrabi - Journal of Communication …, 2021 - jce.shahed.ac.ir
The rapid proliferation of fifth-generation (5G) technology has resulted in a wide range of
applications, posing challenges in managing network resources effectively and efficiently …
applications, posing challenges in managing network resources effectively and efficiently …
Network Slicing Resource Allocation Optimization Based on Multiactor-Attention-Critic Joint With Bidding in Heterogeneous Integrated Network
G Chen, X Zhang, S Qi, Q Zeng… - IEEE Systems …, 2024 - ieeexplore.ieee.org
The demand for various types of services is growing rapidly with the development of beyond
5G/6G networks, network slicing (NS) is considered as an effective technology to cope with …
5G/6G networks, network slicing (NS) is considered as an effective technology to cope with …