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5g - Zenodo

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Last Updated: 10 January 2023

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A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT

5G is the bedstone for the Industrial Internet of Things, enabling more accurate lowlatency integration of artificial intelligence and cloud computing in a framework of a large and flexible IIoT ecosystem that extends the entire industrial process. Malware attacks are now targeting infant but highly connected IoT devices, highlighting the importance of safety and privacy in this situation. Our methodology is based on an image representation of the malware and a convolutional neural network that is intended to distinguish various malware variants.

Source link: https://zenodo.org/record/7512299


Demonstration of latency-aware 5G network slicing on optical metro networks

We provide an example of automated deployment of 5G services in this paper, in particular, a public safety video surveillance use case using low-latency object detection and tracking using on-camera and on-the-edge analytics. Flexible deployment of network slice instances, as part of the European Telecommunications Standards Institute's network function virtualization network services, is included in the demonstration. The results show that the round-trip time over an 80 km link is under 800 mu s, while the service deployment time is under 180 seconds. The 2021 Optical Society of America's The results revealed that the round-trip time over an 80 km link is under 800 mu s, and the service deployment time is under 180 s.

Source link: https://zenodo.org/record/7432699


Cloud-native 5G experimental platform with over-the-air transmissions and end-to-end monitoring

cloud-native deployments of 5G core network functions and end-to-end monitoring provide an experimental framework for improving the lifecycle management of 5G and beyond networks in this context: in this context, we develop an experimental framework with over-the-air transmissions that address two key aspects for improving lifecycle control of 5G and beyond networks: cloud-native deployments of 5G core network functions and end-to-end monitoring and end-to-end monitoring. Both infrastructure and radio metrics of two scenarios were displayed for display purposes and radio metrics of two scenarios; one dedicated to user plane function re-election and the other to user mobility; and the other to user mobility.

Source link: https://zenodo.org/record/7462069


Spectrum Utilization Optimization through the use of Quadrature Baseband Processing Algorithms in 5G mmWave Networks

Telecommunications businesses' financial resource usage optimization was prompted by recent scientific findings that showed that QBB-based technologies, as well as other hybrid technologies, do improve bandwidth availability, which leads to increased bandwidth availability, resulting in financial resource usage optimization by Telecommunications firms. The findings of the study will be a contribution to investment and financial planning by players in the ICT market as the rollout of 5G moves forward into 2023.

Source link: https://zenodo.org/record/7470968


Rough estimation of cell numbers in 5G networks using simple mathematical calculations

This paper addresses the topic of 5G network cell planning. The cell number estimation is the first and the primary measure of determining and deploying a 5G network in a region. Because the number of users that must be served is a factor, the operators should develop and take into account company goals in order to fully implement the network as a result of the number of users that must be accommodated. The required number of base stations in a particular region varies based on the network configurations. Given examples are two examples of how one 5G network in a virtual area per user can be used.

Source link: https://zenodo.org/record/7447327


Mobile network connectivity analysis for device to device communication in 5G network

The device to device communications have become a promising product for in-band or outband mobile communication networks since long-serving release 14. The key issues to recommend these new applications or services are however, reducing the chaos in D2D communications and increasing the smartphone network connectivity. This paper introduces new ways to reduce the congestion of devices around a base station and increase the network's efficiency in terms of the number of connected devices or user equipment.

Source link: https://zenodo.org/record/7445362


Zero-touch AIOps in multi-operator 5G networks

The best network administration decisions in 5G/6G softwarised networks must be made by automation and intelligence. We discuss in this paper how we use Artificial Intelligence to network operations. The approach goes beyond the current state of single domain 5G networks and opens the way to network administration evolution from 5G to 6G.

Source link: https://zenodo.org/record/7438857

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions