Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality
Peizheng Li, Adnan Aijaz, Tim Farnham, Sajida Gufran, Sita, Chintalapati

TL;DR
This paper presents a digital twin framework for 5G radio access networks that enables real-time anomaly detection and proactive management of user connectivity issues.
Contribution
It introduces a novel digital twin design specifically tailored for 5G infrastructure to enhance anomaly detection and system responsiveness.
Findings
Enables near real-time anomaly detection in 5G networks
Supports proactive resource control and connection restoration
Demonstrates effective integration within 5G infrastructure
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.
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Advancements in Semiconductor Devices and Circuit Design · Advanced MIMO Systems Optimization
