Deep Learning Autoencoder based Anomaly Detection Model on 4G Network Performance Data

Author:

Ahasan Md Rakibul1,Haque Mirza Sanita2,Akram Mohammad Rubbyat3,Momen Mohammed Fahim3,Alam Md Golam Rabiul1

Affiliation:

1. BRAC University

2. Miami University

3. Robi Axiata Limited

Publisher

IEEE

Reference17 articles.

1. A Mobile Network Performance Evaluation Method Based on Multivariate Time Series Clustering with Auto-Encoder

2. 4G wireless technology: a brief review;kumar;International Journal of Engineering and Management Research (IJEMR),2013

3. A survey on authentication and access control for mobile networks: from 4G to 5G

4. Autoencoders, unsupervised learning, and deep architectures;baldi;Proceedings of ICML Workshop on Unsupervised and Transfer Learning,2012

5. Fundamentals of Cellular Network Planning and Optimisation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Time series anomaly detection based on TimeGAN and LSTM neural network;2023 Eleventh International Conference on Advanced Cloud and Big Data (CBD);2023-12-18

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