CPU Resource Resilience in Wireless Mobile Communications: Design and Evaluation on COTS Virtual Distributed Platform

Reddy, Rekha; Baradie, Shaden; Gundall, Michael; Lipps, Christoph; Schotten, Hans D.

doi:10.1109/blackseacom54372.2022.9858313

Cited by 5 publications

(1 citation statement)

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“…In the context of the CN simulation, Open5GS was selected. Reddy et al [23] conducted a study comparing the features of open-source software for simulating the 5G CN. Regarding openair-cn, they concluded that it requires greater CPU capacity than the other options.…”

Section: Software Toolsmentioning

confidence: 99%

A Flexible Infrastructure-Sharing 5G Network Architecture Based on Network Slicing and Roaming

Ferreira,

Nogueira

et al. 2024

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The sharing of mobile network infrastructure has become a key topic with the introduction of 5G due to the high costs of deploying such infrastructures, with neutral host models coupled with features such as network function virtualization (NFV) and network slicing emerging as viable solutions for the challenges in this area. With this in mind, this work presents the design, implementation, and test of a flexible infrastructure-sharing 5G network architecture capable of providing services to any type of client, whether an operator or not. The proposed architecture leverages 5G’s network slicing for traffic isolation and compliance with the policies of different clients, with roaming employed for the authentication of users of operator clients. The proposed architecture was implemented and tested in a simulation environment using the UERANSIM and Open5GS open-source tools. Qualitative tests successfully validated the authentication and the traffic isolation features provided by the slices for the two types of clients. Results also demonstrate that the proposed architecture has a positive impact on the performance of the neutral host network infrastructure, achieving 61.8%-higher throughput and 96.8%-lower packet loss ratio (PLR) in a scenario sharing the infrastructure among four clients and eight users when compared to a single client with all the network resources.

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Section: Software Toolsmentioning

confidence: 99%