AI-Based Resource Allocation in E2E Network Slicing with Both Public and Non-Public Slices

Y Wang, N Liu, Z Pan, X You - Applied Sciences, 2023 - mdpi.com
Network slicing is a key technology for 5G networks, which divides the traditional physical
network into multiple independent logical networks to meet the diverse requirements of end …

Two-tier resource allocation in dynamic network slicing paradigm with deep reinforcement learning

G Yang, Q Liu, X Zhou, Y Qian… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Network slicing is treated as a key technology of the rapidly developing 5G system.
Nevertheless, the environment of the users is extremely complex, leading to a great …

Deep reinforcement learning based resource allocation for network slicing with massive MIMO

D Yan, BK Ng, W Ke, CT Lam - IEEE Access, 2023 - ieeexplore.ieee.org
Network slicing is a critical technology for fifth-generation (5G) networks, owing to its merits
in meeting the diversified requirements of users. Effective resource allocation for network …

Deep reinforcement learning-based network slicing for beyond 5G

K Suh, S Kim, Y Ahn, S Kim, H Ju, B Shim - IEEE Access, 2022 - ieeexplore.ieee.org
With the advent of 5G era, network slicing has received a great deal of attention as a means
to support a variety of wireless services in a flexible manner. Network slicing is a technique …

Dynamic Resource Allocation in Network Slicing with Deep Reinforcement Learning

Y Cai, P Cheng, Z Chen, W Xiang… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Network slicing is key to enabling 6G and beyond networks to simultaneously meet the
diverse quality of service (QoS) requirements of various services. In network slicing, radio …

Utility optimization for resource allocation in multi-access edge network slicing: A twin-actor deep deterministic policy gradient approach

Z Wang, Y Wei, FR Yu, Z Han - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
To achieve the service-oriented features of the 5G, network slicing aims to create logical
virtual networks where multiple services are provided on a common physical infrastructure …

Deep reinforcement learning for resource management in network slicing

R Li, Z Zhao, Q Sun, I Chih-Lin, C Yang, X Chen… - IEEE …, 2018 - ieeexplore.ieee.org
Network slicing is born as an emerging business to operators by allowing them to sell the
customized slices to various tenants at different prices. In order to provide better-performing …

Deep Reinforcement Learning for Online Resource Allocation in Network Slicing

Y Cai, P Cheng, Z Chen, M Ding… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Network slicing is a key enabler of 5G and beyond networks to satisfy the diverse quality of
service (QoS) requirements of different services simultaneously. In network slicing, radio …

Two tier slicing resource allocation algorithm based on deep reinforcement learning and joint bidding in wireless access networks

G Chen, X Zhang, F Shen, Q Zeng - Sensors, 2022 - mdpi.com
Network slicing (NS) is an emerging technology in recent years, which enables network
operators to slice network resources (eg, bandwidth, power, spectrum, etc.) in different types …

Network Slicing using Deep Reinforcement Learning for Beyond 5G and 6G Systems

S Kim, B Shim - 2022 IEEE VTS Asia Pacific Wireless …, 2022 - ieeexplore.ieee.org
As a means to accommodate various wireless services flexibly, network slicing (NS) has
received much attention in recent years. In NS, a single physical network is divided into …