원문정보
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초록
영어
The IEEE 802.1 time sensitive networking (TSN) and IETF deterministic networking (DetNet) standards guarantee ultra-low latency (ULL) communications in 5G networks and beyond. The DetNet standard can warrant deterministic ULL through the use of reinforcement learning (RL)-based data forwarding algorithms. Therefore, this study presents an overview of the DetNet mechanisms and explores the RL data forwarding techniques. It is shown that RL algorithms are capable of adjusting effectively the data transmission for deterministic applications, according to the resource usage of the networks.
목차
Abstract
INTRODUCTION
MECHANISMS OF DETNET STANDARD
REINFORCEMENT LEARNING TECHNIQUES FOR DATA FORWARDING IN DETNET STANDARD
CONCLUSION
ACKNOWLEDGMENT
REFERENCES
INTRODUCTION
MECHANISMS OF DETNET STANDARD
REINFORCEMENT LEARNING TECHNIQUES FOR DATA FORWARDING IN DETNET STANDARD
CONCLUSION
ACKNOWLEDGMENT
REFERENCES