scholarly journals Learn to Schedule (LEASCH): A Deep Reinforcement Learning Approach for Radio Resource Scheduling in the 5G MAC Layer

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 108088-108101 ◽  
Author(s):  
Faroq Al-Tam ◽  
Noelia Correia ◽  
Jonathan Rodriguez
Keyword(s):  
Reinforcement Learning ◽  
Resource Scheduling ◽  
Learning Approach ◽  
Mac Layer ◽  
Radio Resource ◽  
Radio Resource Scheduling

Data-driven dynamic resource scheduling for network slicing: A Deep reinforcement learning approach

2019 ◽  
Vol 498 ◽  
pp. 106-116 ◽  
Author(s):  
Haozhe Wang ◽  
Yulei Wu ◽  
Geyong Min ◽  
Jie Xu ◽  
Pengcheng Tang
Keyword(s):  
Reinforcement Learning ◽  
Resource Scheduling ◽  
Data Driven ◽  
Learning Approach ◽  
Network Slicing ◽  
Dynamic Resource
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