[HTML][HTML] Network Resource Allocation Algorithm using Reinforcement Learning Policy-based Network in a Smart Grid Scenario

Z Zheng, Y Han, Y Chi, F Yuan, W Cui, H Zhu, Y Zhang… - Electronics, 2023 - mdpi.com
The exponential growth in user numbers has resulted in an overwhelming surge in data that
the smart grid must process. To tackle this challenge, edge computing emerges as a vital …

Dynamic resource allocation algorithm of virtual networks in edge computing networks

X Xiao, X Zheng, T Jie - Personal and Ubiquitous Computing, 2021 - Springer
The deployment and allocation of network resources are important in the application of edge
computing. As an important resource allocation technology in edge computing, network …

Deep reinforcement learning based edge computing network aided resource allocation algorithm for smart grid

Y Chi, Y Zhang, Y Liu, H Zhu, Z Zheng, R Liu… - Ieee …, 2022 - ieeexplore.ieee.org
The dramatic increase in the volume of users and services makes scheduling network
resources for smart grids a key challenge. Network slicing is an important technology to …

Multiagent deep-reinforcement-learning-based virtual resource allocation through network function virtualization in Internet of Things

HA Shah, L Zhao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Resource allocation is a significant task in the emerging area of Internet of Things (IoT). IoT
devices are usually low-cost devices with limited computational power and capabilities for …

5G and edge: A reinforcement learning approach for Virtual Network Embedding with cost optimization and improved acceptance rate

CL Moreira, CA Kamienski, RAC Bianchi - Computer Networks, 2024 - Elsevier
Abstract 5G technologies are fueling a revolution across numerous industries, including
manufacturing, healthcare, and entertainment, by enabling the development and …

Deep reinforcement learning-based service-oriented resource allocation in smart grids

L Xi, Y Wang, Y Wang, Z Wang, X Wang, Y Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Resource allocation has a direct and profound impact on the performance of resource-
limited smart grids with diversified services that need to be timely processed. In this paper …

Edge computing network resource allocation based on virtual network embedding

K Zhan, N Chen, SVN Santhosh Kumar… - International Journal …, 2022 - Wiley Online Library
It is expected that the demand for quality of service (QoS) and quality of experience (QoE) in
future 6G scenarios will continue to increase, and edge computing (EC) will continue to …

Network resource allocation strategy based on deep reinforcement learning

S Zhang, C Wang, J Zhang, Y Duan… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The traditional Internet has encountered a bottleneck in allocating network resources for
emerging technology needs. Network virtualization (NV) technology as a future network …

Reinforcement learning assisted bandwidth aware virtual network resource allocation

P Zhang, Y Su, J Wang, C Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Space-air-ground integration to support seamless coverage of ground, satellite, airborne,
and marine communications, is likely to be a key trend in the 6G era. One of several key …

Deep reinforcement learning algorithm for latency-oriented IIoT resource orchestration

P Zhang, Y Zhang, N Kumar… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Due to geographical factors and resource constraints, the traditional Internet architecture
cannot meet the needs of the space–air–ground-integrated network (SAGIN) resource layout …