Cellular traffic prediction with machine learning: A survey

W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …

Federated learning-empowered mobile network management for 5G and beyond networks: From access to core

J Lee, F Solat, TY Kim, HV Poor - … Communications Surveys & …, 2024 - ieeexplore.ieee.org
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …

Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges

B Brik, K Boutiba, A Ksentini - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …

Forecasting network traffic: A survey and tutorial with open-source comparative evaluation

GO Ferreira, C Ravazzi, F Dabbene… - IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

Safe-NORA: Safe reinforcement learning-based mobile network resource allocation for diverse user demands

W Huang, T Li, Y Cao, Z Lyu, Y Liang, L Yu… - Proceedings of the …, 2023 - dl.acm.org
As mobile communication technologies advance, mobile networks become increasingly
complex, and user requirements become increasingly diverse. To satisfy the diverse …

Spatial–temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks

S Liu, M He, Z Wu, P Lu, W Gu - Information Fusion, 2024 - Elsevier
Balancing network traffic among base stations poses a primary challenge for mobile
operators because of the escalating demand for enhanced data speeds in large-scale 5G …

Network meets ChatGPT: Intent autonomous management, control and operation

J Wang, L Zhang, Y Yang, Z Zhuang… - Journal of …, 2023 - ieeexplore.ieee.org
Telecommunication has undergone significant transformations due to the continuous
advancements in internet technology, mobile devices, competitive pricing, and changing …

A spatial-temporal transformer network for city-level cellular traffic analysis and prediction

B Gu, J Zhan, S Gong, W Liu, Z Su… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the accelerated popularization of 5G applications, accurate cellular traffic prediction is
becoming increasingly important for efficient network management. Currently, the latest …

A data-driven base station slee** strategy based on traffic prediction

J Lin, Y Chen, H Zheng, M Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to the rapidly increasing number of base stations (BSs) in the operational cellular
networks, their energy consumption is escalating. In this paper, we propose an intelligent …

Mitigating energy consumption in heterogeneous mobile networks through data-driven optimization

Y Ma, T Li, Y Zhou, L Yu, D ** - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
5G networks, with their notable energy consumption, pose a significant challenge.
Traditional energy-saving methods, effective for 4G, struggle in heterogeneous 4G and 5G …