CN2F: A Cloud-Native Cellular Network Framework

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Ganji, Sepehr, Behnaminia, Shirin, Ahangarpour, Ali, Mazaheri, Erfan, Baradaran, Sara, Zali, Zeinab, Heidarpour, Mohammad Reza, Rakhshan, Ali, Shoyari, Mahsa Faraji
Natura: Preprint
Pubblicazione: 2023
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866911364351524864
author Ganji, Sepehr
Behnaminia, Shirin
Ahangarpour, Ali
Mazaheri, Erfan
Baradaran, Sara
Zali, Zeinab
Heidarpour, Mohammad Reza
Rakhshan, Ali
Shoyari, Mahsa Faraji
author_facet Ganji, Sepehr
Behnaminia, Shirin
Ahangarpour, Ali
Mazaheri, Erfan
Baradaran, Sara
Zali, Zeinab
Heidarpour, Mohammad Reza
Rakhshan, Ali
Shoyari, Mahsa Faraji
contents Upcoming cellular networks aim to improve the efficiency and flexibility of mobile networks by incorporating various technologies, such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Network Slicing (NS). There exist open-source projects that implement components of different cellular generations. In this paper, we elaborate on how to use these open-source projects to realize a flexible and extendable testbed for conducting experiments on the future generation of cellular networks. In particular, a Cloud-Native Cellular Network Framework (CN2F) is presented, which uses OpenAirInterface's codebase to generate cellular Virtual Network Functions (VNFs) and deploys Kubernetes to disperse and manage them among multiple worker nodes. Moreover, CN2F leverages ONOS and Mininet to emulate the effect of the IP transport networks in the fronthaul and backhaul of real-world cellular networks. Using CN2F, we implement different network scenarios, including Edge Computing (EC), Cloud Computing (CC), and Radio Access Network (RAN) slicing, to showcase the effectiveness of the proposed testbed for academia and industrial Research and Development (R&D) activities.
format Preprint
id arxiv_https___arxiv_org_abs_2305_18778
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle CN2F: A Cloud-Native Cellular Network Framework
Ganji, Sepehr
Behnaminia, Shirin
Ahangarpour, Ali
Mazaheri, Erfan
Baradaran, Sara
Zali, Zeinab
Heidarpour, Mohammad Reza
Rakhshan, Ali
Shoyari, Mahsa Faraji
Networking and Internet Architecture
Upcoming cellular networks aim to improve the efficiency and flexibility of mobile networks by incorporating various technologies, such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Network Slicing (NS). There exist open-source projects that implement components of different cellular generations. In this paper, we elaborate on how to use these open-source projects to realize a flexible and extendable testbed for conducting experiments on the future generation of cellular networks. In particular, a Cloud-Native Cellular Network Framework (CN2F) is presented, which uses OpenAirInterface's codebase to generate cellular Virtual Network Functions (VNFs) and deploys Kubernetes to disperse and manage them among multiple worker nodes. Moreover, CN2F leverages ONOS and Mininet to emulate the effect of the IP transport networks in the fronthaul and backhaul of real-world cellular networks. Using CN2F, we implement different network scenarios, including Edge Computing (EC), Cloud Computing (CC), and Radio Access Network (RAN) slicing, to showcase the effectiveness of the proposed testbed for academia and industrial Research and Development (R&D) activities.
title CN2F: A Cloud-Native Cellular Network Framework
topic Networking and Internet Architecture
url https://arxiv.org/abs/2305.18778