A novel, efficient, green and real-time load balancing algorithm for 5G network measurement report collecting clusters

P Zhang, J Li, Y Tang, H Wang, T Cao - Journal of Circuits, Systems …, 2022 - World Scientific
With the wide application of data mining and deep learning in mobile cellular network
operation and maintenance, network measurement report (MR) plays an increasingly …

Network load prediction and anomaly detection using ensemble learning in 5G cellular networks

U Haider, M Waqas, M Hanif, H Alasmary… - Computer …, 2023 - Elsevier
Network data analytics significantly improved the 5G cellular networks. Data analytics allows
network administrators and operators to use the machine and deep learning to analyse the …

Intelligent network data analytics function in 5G cellular networks using machine learning

S Sevgican, M Turan, K Gökarslan… - Journal of …, 2020 - ieeexplore.ieee.org
5G cellular networks come with many new features compared to the legacy cellular
networks, such as network data analytics function (NWDAF), which enables the network …

Federated learning-based heterogeneous load prediction and slicing for 5G systems and beyond

L Pu, Q Cui, X Li, B Zhao, W Ni, M Ai… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Network Slicing (NS) is an enabling technology to support vertical industries in 5G-and-
beyond (B5G) systems. The management of Radio Access Network (RAN) slices re-lies on …

Deep Learning-based Anomaly Detection for 5G Core Mobility Management

A Issa, N Kandil, N Hakem - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
Machine learning is becoming an increasingly critical tool in next-generation
telecommunications ecosystems. Effective anomaly detection tools are more necessary than …

A survey of machine learning algorithms for 6G wireless networks

A Patil, S Iyer, RJ Pandya - arXiv preprint arXiv:2203.08429, 2022 - arxiv.org
The primary focus of Artificial Intelligence/Machine Learning (AI/ML) integration within the
wireless technology is to reduce capital expenditures, optimize network performance, and …

LSTM-based alarm prediction in the mobile communication network

X Wang, D Liang - 2020 IEEE 6th International Conference on …, 2020 - ieeexplore.ieee.org
With the development of mobile communication network technology, the network scale is
expanding, the network complexity is also improved. Once the network fails, it will cause a …

An efficient network operation automation scheme using network status information for local 5G networks

M Yoon, J Seo, K Cho - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
5G SA communication technology is being recognized as a crucial technology shaping the
future of wireless communication. Compared to previous generations of networks, 5G offers …

Research on operation control strategy of energy-saving power supply system of 5G communication base station

Y Sun, C Fu, C Cui, Q Wen - 2022 4th International Conference …, 2022 - ieeexplore.ieee.org
Due to the characteristics of large scale and many branches in the current power grid, a
wide coverage and large connection access method is needed to meet its ubiquitous …

Measurement and classification of smart systems data traffic over 5G mobile networks

M Dighriri, GM Lee, T Baker - Technology for smart futures, 2018 - Springer
Abstract Machine-to-Machine communication is rapidly growing and becoming a significant
part of the current 4G and future 5G mobile network data traffic, which is intended to provide …