Deep Reinforcement Learning Based Resource Allocation Approach for Wireless Networks Considering Network Slicing Paradigm
In this paper, we present an approach for resource scheduling in wireless networks based
on the Network Slicing (NS) paradigm using Double Deep Q-Network (DDQN) …
on the Network Slicing (NS) paradigm using Double Deep Q-Network (DDQN) …
Resource slicing for eMBB and URLLC services in radio access network using hierarchical deep learning
M Setayesh, S Bahrami… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network slicing is a promising technique for wireless service providers to support enhanced
mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services …
mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services …
An SDN controller-based network slicing scheme using constrained reinforcement learning
MC Hlophe, BT Maharaj - IEEE Access, 2022 - ieeexplore.ieee.org
In order to meet the strong diversification of services that demand network flexibility that will
be able to serve the dire need for transmission resources, network slicing was embraced as …
be able to serve the dire need for transmission resources, network slicing was embraced as …
[HTML][HTML] 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 …
operators to slice network resources (eg, bandwidth, power, spectrum, etc.) in different types …
Flexible resource block allocation to multiple slices for radio access network slicing using deep reinforcement learning
Y Abiko, T Saito, D Ikeda, K Ohta, T Mizuno… - IEEE …, 2020 - ieeexplore.ieee.org
In the fifth-generation of mobile communications, network slicing is used to provide an
optimal network for various services as a slice. In this paper, we propose a radio access …
optimal network for various services as a slice. In this paper, we propose a radio access …
Radio resource management in context of network slicing: What is missing in existing mechanisms?
Fifth generation (5G) of mobile networks are expected to serve multiple heterogeneous use
cases. These use cases are extremely diverse in terms of service requirements and …
cases. These use cases are extremely diverse in terms of service requirements and …
An Optimal Scheduling Strategy for Wireless Resources based on Network Slicing
Y Luo, X Ye, X Wang, H Miao… - 2019 IEEE 3rd Advanced …, 2019 - ieeexplore.ieee.org
Aiming at the problem that traditional wireless network resource scheduling algorithm
cannot guarantee the fairness of users, cannot allocate resources to users on demand and …
cannot guarantee the fairness of users, cannot allocate resources to users on demand and …
A novel approach for dynamic capacity sharing in multi-tenant scenarios
Network slicing is included as a key feature of the 5G architecture in order to simultaneously
support diverse service types with heterogeneous requirements. The deployment of network …
support diverse service types with heterogeneous requirements. The deployment of network …
Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing
One of the pillars of the 5G architecture is network slicing, in which hardware, radio, and
power resources are virtualized as a logical network taking into account the requirements of …
power resources are virtualized as a logical network taking into account the requirements of …
Energy-efficient priority-based scheduling for wireless network slicing
Wireless network slicing is a promising technology for next-generation networks to provide
tailored on-demand services to mobile users. We consider a scheduling policy for wireless …
tailored on-demand services to mobile users. We consider a scheduling policy for wireless …