When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …

On sustained zero trust conceptualization security for mobile core networks in 5g and beyond

Y Bello, AR Hussein, M Ulema… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The rapid increase in data traffic is forcing mobile network operators to enhance and expand
their network infrastructure to meet the new requirements of customers' Service Level …

Olp—a restful open low-code platform

MAA Da Cruz, HTL de Paula, BPG Caputo, SB Mafra… - Future Internet, 2021 - mdpi.com
Low-code is an emerging concept that transforms visual representations into functional
software, allowing anyone to be a developer. However, building a low-code platform from …

An SDN-based solution for horizontal auto-scaling and load balancing of transparent VNF clusters

A Llorens-Carrodeguas, I Leyva-Pupo… - Sensors, 2021 - mdpi.com
This paper studies the problem of the dynamic scaling and load balancing of transparent
virtualized network functions (VNFs). It analyzes different particularities of this problem, such …

[PDF][PDF] Predicting broadband network performance with ai-driven analysis

S Ramagundam - Journal of Research Administration, 2023 - researchgate.net
In simple terms, the fusion of artificial intelligence (AI) and network performance prediction
signifies a fundamental shift in the management of connection. As researchers and industry …

Deep learning based resource forecasting for 5G core network scaling in Kubernetes environment

MPJ Kuranage, L Nuaymi… - 2022 IEEE 8th …, 2022 - ieeexplore.ieee.org
5G networks are moving towards cloudification which gives the telecom operators the
flexibility to manage their networks efficiently and cost-effectively. Scaling network functions …

B5G: Predictive container auto-scaling for cellular evolved packet core

Y Bello, AA Abdellatif, MS Allahham, AR Hussein… - IEEE …, 2021 - ieeexplore.ieee.org
In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic,
the mobile network infrastructure needs to be scaled. Thus there has been significant …

Radio resource allocation for 5G networks using deep reinforcement learning

YY Munaye, RT Juang, HP Lin… - 2021 30th Wireless …, 2021 - ieeexplore.ieee.org
The emerging 5G mobile network technology is intended to deliver an effective platform for
the communication of devices within users. In this study, the proposed method enables the …

Full dynamic orchestration in 5G core network slicing over a cloud-native platform

FH Grings, LBD Silveira, KV Cardoso… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Technological advances in the fifth-generation (5G) mobile networks are based on native
cloud computing platforms, and Kubernetes (K8S) has emerged as a relevant orchestration …

Architecture for integrating vertical customer's programmability control of network functions and connectivity in a slice-as-a-service schema

LM Contreras, S Barguil, R Vilalta, V López - EURASIP Journal on …, 2021 - Springer
Network slicing will permit offering to vertical customers tailored end-to-end logical networks
in an on-demand fashion, on top of a common telecom infrastructure, achieving a Slices-as …