Abstract
This paper presents the design and implementation of a traffic anomaly detection xApp based on per-UE Key Performance Metric (KPM) monitoring, within an O-RAN-compliant simulation framework. The framework integrates the near-real-time RIC platform FlexRIC from OpenAirInterface (OAI) with the ns-3 simulator, resulting in a unified ns-O-RAN environment. The proposed xApp leverages real-time KPM data to identify abnormal traffic patterns at the UE level, enabling intelligent and fine-grained RAN control. This work demonstrates the feasibility of anomaly detection in simulated O-RAN environments and provides a foundation for evaluating AI-driven RAN control strategies.
| Original language | English |
|---|---|
| Title of host publication | 2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025 |
| Publisher | IEEE Computer Society |
| Pages | 1539-1540 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798331556785 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 16th International Conference on Information and Communication Technology Convergence, ICTC 2025 - , Korea, Republic of Duration: 14 Oct 2025 → 17 Oct 2025 |
Publication series
| Name | International Conference on ICT Convergence |
|---|---|
| ISSN (Print) | 2162-1233 |
| ISSN (Electronic) | 2162-1241 |
Conference
| Conference | 16th International Conference on Information and Communication Technology Convergence, ICTC 2025 |
|---|---|
| Country/Territory | Korea, Republic of |
| Period | 14/10/25 → 17/10/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- FlexRIC
- Near-RT RIC
- ns-O-RAN
- O-RAN
- xApp
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