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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 …
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
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges
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 …
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …
Forecasting network traffic: A survey and tutorial with open-source comparative evaluation
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 …
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
As mobile communication technologies advance, mobile networks become increasingly
complex, and user requirements become increasingly diverse. To satisfy the diverse …
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
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 …
operators because of the escalating demand for enhanced data speeds in large-scale 5G …
Network meets ChatGPT: Intent autonomous management, control and operation
Telecommunication has undergone significant transformations due to the continuous
advancements in internet technology, mobile devices, competitive pricing, and changing …
advancements in internet technology, mobile devices, competitive pricing, and changing …
A spatial-temporal transformer network for city-level cellular traffic analysis and prediction
With the accelerated popularization of 5G applications, accurate cellular traffic prediction is
becoming increasingly important for efficient network management. Currently, the latest …
becoming increasingly important for efficient network management. Currently, the latest …
A data-driven base station slee** strategy based on traffic prediction
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 …
networks, their energy consumption is escalating. In this paper, we propose an intelligent …
Mitigating energy consumption in heterogeneous mobile networks through data-driven optimization
5G networks, with their notable energy consumption, pose a significant challenge.
Traditional energy-saving methods, effective for 4G, struggle in heterogeneous 4G and 5G …
Traditional energy-saving methods, effective for 4G, struggle in heterogeneous 4G and 5G …