AI-Based Anomaly Detection for Industrial 5G Networks by Distributed SDR Measurements-Reference-Cited by-同舟云学术

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AI-Based Anomaly Detection for Industrial 5G Networks by Distributed SDR Measurements

Published:2024-07-02 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Measurements & Networking (M&N)
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Author:

Šabanović Kevin-Ismet¹,Arendt Christian¹,Fricke Steffen¹,Geis Melina¹,Böcker Stefan¹,Wietfeld Christian¹

Affiliation:

1. Communication Networks Institute, TU Dortmund University,Dortmund,Germany,44227

Funder

Ministry of Economic Affairs, Industry, Climate Protection and Energy of the State of North Rhine-Westphalia (MWIKE NRW)

German Federal Ministry of Education and Research (BMBF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10615257/10615262/10615402.pdf?arnumber=10615402

Reference11 articles.

1. Software defined radio: Operation, challenges and possible solutions

2. Pushing the Limits: Resilience Testing for Mission-Critical Machine-Type Communication

3. Better Safe Than Sorry: Distributed Testbed for Performance Evaluation of Private Networks

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

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