Deep Autoencoder Design for RF Anomaly Detection in 5G O-RAN Near-RT RIC via xApps
Author:
Affiliation:
1. Technology & Innovation (TI) Team, Research in Next-Generation Communications (RNC),5G Research Group Kartal R&D Center, Siemens San. Tic. A.S.,Istanbul,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10283478/10283479/10283501.pdf?arnumber=10283501
Reference27 articles.
1. Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach
2. O-RAN AI/ML Workflow Implementation of Personalized Network Optimization via Reinforcement Learning
3. QoE-driven optimization in 5G O-RAN enabled HetNets for enhanced video service quality;agarwal;IEEE Commun Mag,2022
4. O- RAN intelligent application for cellular mobility management;haryo;International Conference on ICT for Smart Society (ICISS),2022
5. Joint Selection of Local Trainers and Resource Allocation for Federated Learning in Open RAN Intelligent Controllers
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1. A Survey for Intrusion Detection Systems in Open RAN;IEEE Access;2024
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