Machine Learning Based Flexible Transmission Time Interval Scheduling for eMBB and uRLLC Coexistence Scenario

Machine Learning Based Flexible Transmission Time Interval Scheduling for eMBB and uRLLC Coexistence Scenario

The enhanced Mobile Broadband (eMBB) and ultra-Reliable Low Latency Communications (uRLLC) are the two main scenarios of <inline-formula> <tex-math notation="LaTeX">$5^{th}$ </tex-math></inline-formula> generation (5G) mobile communication system networks. There is...

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Bibliographic Details
Main Authors: Jingxuan Zhang, Xiaodong Xu, Kangjie Zhang, Bufang Zhang, Xiaofeng Tao, Ping Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Flexible TTI scheduling
machine learning
delay
control overhead
eMBB
uRLLC
Online Access:https://ieeexplore.ieee.org/document/8718287/
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