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Effective Radio Resource Allocation for IoT Random Access by Using Reinforcement Learning
Yen Wen Chen
, Ji Zheng You
通訊工程學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
3
引文 斯高帕斯(Scopus)
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研究計畫
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深入研究「Effective Radio Resource Allocation for IoT Random Access by Using Reinforcement Learning」主題。共同形成了獨特的指紋。
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Keyphrases
Internet of Things
100%
Random Access
100%
Reinforcement Learning
100%
Radio Resource Allocation
100%
Prediction Method
33%
Access Performance
33%
Narrowband
16%
Data Transmission
16%
Resource Allocation
16%
Fast Response
16%
Internet of Things Devices
16%
3rd Generation Partnership Project (3GPP)
16%
Rule-based
16%
Shared Channel
16%
Uplink
16%
Wireless Communication Network
16%
Radio Resources
16%
Resource Allocation Scheme
16%
Random Access Protocol
16%
Interactive Services
16%
Transmission Bandwidth
16%
Internet of Things Services
16%
Engineering
Random Access
100%
Internet of Things
100%
Radio Resource
100%
Reinforcement Learning
100%
Anchors
57%
Simulation Result
14%
Transmissions
14%
Wireless Communication
14%
Communication Network
14%
Quick Response
14%
Access Procedure
14%
Computer Science
Random Access
100%
Internet of Things
100%
Resource Allocation
100%
Reinforcement Learning
100%
Access Resource
28%
Wireless Communication
14%
Internet of Things Device
14%
Communication Network
14%
Resource Allocation Scheme
14%
Project Partnership
14%
Transmission Bandwidth
14%