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 …

[引用][C] 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 - ui.adsabs.harvard.edu
Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing Using
Deep Reinforcement Learning - NASA/ADS Now on home page ads icon ads Enable full ADS …

[PDF][PDF] Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing Using Deep Reinforcement Learning

YU ABIKO, T SAITO, D IKEDA, KEN OHTA, T MIZUNO… - scholar.archive.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 …

[引用][C] 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, H Mineno - IEEE Access, 2020 - cir.nii.ac.jp
Flexible Resource Block Allocation to Multiple Slices for Radio Access Network Slicing
Using Deep Reinforcement Learning | CiNii Research CiNii 国立情報学研究所 学術情報 …