English

Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality

Networking and Internet Architecture 2023-08-31 v1 Machine Learning
Authors: Peizheng Li , Adnan Aijaz , Tim Farnham , Sajida Gufran , Sita Chintalapati
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Abstract

Recently, the concept of digital twins (DTs) has received significant attention within the realm of 5G/6G. This demonstration shows an innovative DT design and implementation framework tailored toward integration within the 5G infrastructure. The proposed DT enables near real-time anomaly detection capability pertaining to user connectivity. It empowers the 5G system to proactively execute decisions for resource control and connection restoration.

Keywords

digital twin 5g radio access network anomaly detection resource control

Cite

@article{arxiv.2308.15973,
  title  = {Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality},
  author = {Peizheng Li and Adnan Aijaz and Tim Farnham and Sajida Gufran and Sita Chintalapati},
  journal= {arXiv preprint arXiv:2308.15973},
  year   = {2023}
}

Comments

2 pages, 2 figures. This paper has been accepted by the 31st IEEE International Conference on Network Protocols (ICNP 2023)

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