Anticipatory session management and user plane function placement for ai-driven beyond 5g networks

S Peters, MA Khan - Procedia Computer Science, 2019 - Elsevier
In this paper we aim at facilitating the flexible 5G core network architecture with foresighted
session management. To achieve this we propose a 5G-native architecture utilizing a three …

Machine-Learning-Based 5G Network Function Scaling via Black-and White-Box KPIs

R Bolla, R Bruschi, F Davoli… - 2023 21st …, 2023 - ieeexplore.ieee.org
The diffusion of the Fifth-Generation (5G) of mobile radio networks will be the main driver in
the digital transformation towards a new hyper-connected society. In order to satisfy the …

Zero touch realization of pervasive artificial intelligence as a service in 6G networks

E Baccour, MS Allahham, A Erbad… - IEEE …, 2023 - ieeexplore.ieee.org
The vision of the upcoming 6G technologies, characterized by ultra-dense networks, low
latency, and fast data rate, is to support pervasive artificial intelligence (PAI) using zero …

ML-based traffic steering for heterogeneous ultra-dense beyond-5G networks

I Chatzistefanidis, N Makris, V Passas… - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
As networks become denser and more heterogeneous different paths can be considered in
order to reach each multi-homed UE, offering optimal performance. 5G and beyond …

Programmable and customized intelligence for traffic steering in 5g networks using open ran architectures

A Lacava, M Polese, R Sivaraj… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
5G and beyond mobile networks will support heterogeneous use cases at an
unprecedented scale, thus demanding automated control and optimization of network …

Anticipatory user plane management for 5G

S Peters, MA Khan - … on Cloud and Service Computing (SC2), 2018 - ieeexplore.ieee.org
The 5G user plane is bound to play a significant role in fulfilling the dynamic demand
created from the heterogeneous device layer, with novel concepts introducing the flexible …

User group behavioural pattern in a cellular mobile network for 5G use-cases

G Soós, D Ficzere, P Varga - NOMS 2020-2020 IEEE/IFIP …, 2020 - ieeexplore.ieee.org
comes to user needs, 3G and 4G cellular mobile systems cover the mass needs for mobile
broadband quite successfully. Answering the demands of critical IoT (Internet of Things), and …

Dual-attention deep reinforcement learning for multi-map 3d trajectory optimization in dynamic 5g networks

E Catté, M Sana, M Maman - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
5G and beyond networks need to provide dynamic and efficient infrastructure management
to better adapt to time-varying user behaviors (eg, user mobility, interference, user traffic and …

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering

H Zhang, H Zhou, M Elsayed, M Bavand… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Traffic steering (TS) is a promising approach to support various service requirements and
enhance transmission reliability by distributing network traffic loads to appropriate base …

Towards an intelligent 6G architecture: the case of jointly Optimised handover and Orchestration

X Vasilakos, S Olowu… - 47th Wireless …, 2022 - research-information.bris.ac.uk
Modern communication networks are intrinsically softwarised and programmable, hence
essentially agile. However, critical functionality comes from legacy generations, limiting …