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RL-NSB: Reinforcement learning-based 5G network slice broker
Network slicing is considered one of the main pillars of the upcoming 5G networks. Indeed,
the ability to slice a mobile network and tailor each slice to the needs of the corresponding …
the ability to slice a mobile network and tailor each slice to the needs of the corresponding …
Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks
Providing connectivity to high-density traffic demand is one of the key promises of future
wireless networks. The open radio access network (O-RAN) is one of the critical drivers …
wireless networks. The open radio access network (O-RAN) is one of the critical drivers …
Calibrating AI models for wireless communications via conformal prediction
When used in complex engineered systems, such as communication networks, artificial
intelligence (AI) models should be not only as accurate as possible, but also well calibrated …
intelligence (AI) models should be not only as accurate as possible, but also well calibrated …
Bayesian active meta-learning for reliable and efficient AI-based demodulation
Two of the main principles underlying the life cycle of an artificial intelligence (AI) module in
communication networks are adaptation and monitoring. Adaptation refers to the need to …
communication networks are adaptation and monitoring. Adaptation refers to the need to …
Anticipatory allocation of communication and computational resources at the edge using spatio-temporal dynamics of mobile users
Multi-access Edge Computing represents a key enabling technology for emerging mobile
networks. It offers intensive computational resources very close to the end-users, useful for …
networks. It offers intensive computational resources very close to the end-users, useful for …
Cooperative game-based solution for power system dynamic economic dispatch considering uncertainties: A case study of large-scale 5G base stations as virtual …
P Bao, Q Xu, Y Yang, X Zhao - Applied Energy, 2024 - Elsevier
The uncertainty of renewable energy necessitates reliable demand response (DR)
resources for power system auxiliary regulation. Meanwhile, the widespread deployment of …
resources for power system auxiliary regulation. Meanwhile, the widespread deployment of …
Towards green machine learning for resource allocation in beyond 5G RAN slicing
The new generation of mobile communications, 5G, has been rolled out. While basic
features were successively implemented, more complex ones have been left aside for a new …
features were successively implemented, more complex ones have been left aside for a new …
Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE system
Abstract The fourth-generation (4 G) cellular network is currently the dominant mobile
technology used worldwide. The analysis of the network behavior can help forecast the …
technology used worldwide. The analysis of the network behavior can help forecast the …
Mobility-aware cell clustering mechanism for self-organizing networks
Self-Organizing Networks (SON) which automate the mobile networks in a cost-efficient way
can provide extensive benefits for mobile network operators that are facing several …
can provide extensive benefits for mobile network operators that are facing several …
Towards an optimal management of the 5G cloud-RAN through a spatio-temporal prediction of users' dynamics
In the emerging 5G architecture, the Cloud-Radio Access Network (Cloud-RAN) offers the
possibility to dynamically configure virtual resources and network functionalities very close …
possibility to dynamically configure virtual resources and network functionalities very close …