Intelligent O-RAN Traffic Steering for URLLC Through Deep Reinforcement Learning

The goal of Next-Generation Networks is to improve upon the current networking paradigm, especially in providing higher data rates, near-real-time latencies, and near-perfect quality of service. However, existing radio access network (RAN) architectures lack sufficient flexibility and intelligence t...

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Veröffentlicht in:	arXiv.org 2023-03
Hauptverfasser:	Ibrahim, Tamim, Aleyadeh, Sam, Shami, Abdallah
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Deep learning Machine learning Network latency Quality of service architectures Queueing Steering Traffic congestion
Online-Zugang:	Volltext
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