C Paul, S Ranjith, RS Vijayashanthi… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
In recent years, only with developments of cellular networking technologies as well as the implementation of 4G LTE networks, the skills and options provided to end-users had …
B Hussain, Q Du, P Ren - China Communications, 2018 - ieeexplore.ieee.org
With rising capacity demand in mobile networks, the infrastructure is also becoming increasingly denser and complex. This results in collection of larger amount of raw data (big …
Timely identification of outliers occurring in key performance indicators (KPIs) of mobile cellular networks is crucial for prompt action to unexpected events. The KPIs of cellular …
SMA Al Mamun, M Beyaz - … , MLN 2018, Paris, France, November 27–29 …, 2019 - Springer
Anomaly detection can show significant behavior changes in the cellular mobile network. It can explain much important missing information and which can be monitored using …
For a variety of reasons (including, for example, increasing cyber security threats, increased network heterogeneity, the increased use of virtualization technologies, etc.) maintaining the …
L Lei, L Kou, X Zhan, J Zhang, Y Ren - Sensors, 2022 - mdpi.com
With the advent of the digital information age, new data services such as virtual reality, industrial Internet, and cloud computing have proliferated in recent years. As a result, it …
X Hua, L Zhu, S Zhang, Z Li, S Wang, C Deng… - Electronics …, 2023 - Wiley Online Library
The reliability of wireless base stations is essential to guarantee the user experiences in wireless networks, thereby employing the anomaly detection on multivariate time series is …
H Nan, X Zhu, J Ma - China Communications, 2022 - ieeexplore.ieee.org
Nowadays, the fifth-generation (5G) mobile communication system has obtained prosperous development and deployment, reshaping our daily lives. However, anomalies of cell …
HJ Lee, YJ Cho, D Kwak, J Lee - IECON 2023-49th Annual …, 2023 - ieeexplore.ieee.org
This paper introduces an efficient model training method for anomaly detection of radio units (RUs) in 5G cellular networks. The proposed method uses Bayesian neural network (BNN) …