Toward an Efficient and Dynamic Allocation of Radio Access Network Slicing Resources for 5G Era
With the development of 5G technology and Internet of Things (IoT), more and more devices are connected through 5G wirelessly. Radio access network (RAN) slicing, as a key feature of 5G, enables a flexible bandwidth resource allocation policy, and facilitates various types of services to operate on...
Main Authors: | Xiaolei Chang, Tian Ji, Runsu Zhu, Zhenzhou Wu, Chenxi Li, Yong Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10232995/ |
Similar Items
-
How to Attack and Defend NextG Radio Access Network Slicing With Reinforcement Learning
by: Yi Shi, et al.
Published: (2023-01-01) -
Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing Using Deep Reinforcement Learning
by: Yu Abiko, et al.
Published: (2020-01-01) -
Characterization of Radio Access Network Slicing Scenarios With 5G QoS Provisioning
by: Irene Vila, et al.
Published: (2020-01-01) -
eXP-RAN—An Emulator for Gaining Experience With Radio Access Networks, Edge Computing, and Slicing
by: Joao Paulo Esper, et al.
Published: (2020-01-01) -
On the Design of a Network Digital Twin for the Radio Access Network in 5G and Beyond
by: Irene Vilà, et al.
Published: (2023-01-01)