Deep learning-based big data-assisted anomaly detection in cellular networks
5G is envisioned to have an artificial intelligence (AI)-empowerment to efficiently plan,
manage and optimize the extremely complex network by leveraging colossal amount of data …
manage and optimize the extremely complex network by leveraging colossal amount of data …
Data Analysis for Anomaly Detection to Secure Rail Network
The security, safety and reliability of rail systems are of the utmost importance. In order to
better detect and prevent anomalies, it is necessary to accurately study and analyze the …
better detect and prevent anomalies, it is necessary to accurately study and analyze the …
Machine Learning Based Anomaly Detection as an Emerging Trend in Telecommunications
V Đorđević, P Miloševic, A Poledica - Management: Journal of …, 2022 - ceeol.com
Research Question: This paper investigates into how machine learning can be applied for
the purpose of detecting anomalies in the data describing transport component within the …
the purpose of detecting anomalies in the data describing transport component within the …
Characterizing the effects of rapid LTE deployment: A data-driven analysis
The deployment of LTE, while old news to developed countries, is ongoing in developing
countries with some starting LTE deployments only a year ago. LTE is essential for …
countries with some starting LTE deployments only a year ago. LTE is essential for …
Topology Optimization of Train Communication Network Based on Improved Adaptive Genetic Algorithm
D He, Y Wang, Y Chen, Y Yuan… - 2020 IEEE 20th …, 2020 - ieeexplore.ieee.org
In order to solve the problem of low bandwidth and low real-time performance in the existing
train communication network, a novel topology optimization scheme is presented. The data …
train communication network, a novel topology optimization scheme is presented. The data …
Proactive anomaly detection model for eHealth-enabled data in next generation cellular networks
Internet of things (IoT) is an ever-growing technological paradigm that is expected to boost
the development of a plethora of services and applications like eHealth services. The …
the development of a plethora of services and applications like eHealth services. The …
A Machine Learning Methodology for Network Anomalies Detection in O-RAN Networks
Despite the extensive research and various existing systems for detecting and classifying
anomalies in operational networks, Internet Service Providers (ISPs) continue to seek …
anomalies in operational networks, Internet Service Providers (ISPs) continue to seek …
Graph isomorphism networks for wireless link layer anomaly classification
B Bertalanič, C Fortuna - 2023 IEEE Wireless Communications …, 2023 - ieeexplore.ieee.org
Nowadays, modern man-made infrastructures are being upgraded with information and
communication technologies that form large wireless networks. Such large wireless …
communication technologies that form large wireless networks. Such large wireless …
Robust neighbor discovery through sideLink demodulation reference signal for LTE ProSe network
L Nasraoui, S Ikki - … Symposium on Personal, Indoor and Mobile …, 2019 - ieeexplore.ieee.org
By introducing the Proximity Services (ProSe) functionalities in its 12 th release, the 3 rd
Generation Partnership Project (3GPP) made possible the ability to perform device-to-device …
Generation Partnership Project (3GPP) made possible the ability to perform device-to-device …
Lte-r network optimization analysis method based on big data technology
J Qu, F Liu, Y Ma, H Li, Z Zhang - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
To ensure the trouble-free operation of 20 thousand tons heavy haul train, Shuohuang
railway company has established the first communication network based on LTE technology …
railway company has established the first communication network based on LTE technology …