RL-NSB: Reinforcement learning-based 5G network slice broker

V Sciancalepore, X Costa-Perez… - IEEE/ACM transactions …, 2019 - ieeexplore.ieee.org
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 …

Dynamic traffic forecasting and fuzzy-based optimized admission control in federated 5G-open RAN networks

A Perveen, R Abozariba, M Patwary… - Neural Computing and …, 2023 - Springer
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 …

Calibrating AI models for wireless communications via conformal prediction

KM Cohen, S Park, O Simeone… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Bayesian active meta-learning for reliable and efficient AI-based demodulation

KM Cohen, S Park, O Simeone… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

Anticipatory allocation of communication and computational resources at the edge using spatio-temporal dynamics of mobile users

A Rago, G Piro, G Boggia, P Dini - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

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 …

Towards green machine learning for resource allocation in beyond 5G RAN slicing

A Oliveira, T Vazão - Computer Networks, 2023 - Elsevier
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 …

Statistical analysis and characterization of signaling and user traffic of a commercial multi-band LTE system

C Vargas Anamuro, A Blanc, X Lagrange - Telecommunication Systems, 2024 - Springer
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 …

Mobility-aware cell clustering mechanism for self-organizing networks

O Narmanlioglu, E Zeydan - IEEE Access, 2018 - ieeexplore.ieee.org
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 …

Towards an optimal management of the 5G cloud-RAN through a spatio-temporal prediction of users' dynamics

A Rago, P Ventrella, G Piro, G Boggia… - 2020 Mediterranean …, 2020 - ieeexplore.ieee.org
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 …