An Open, Programmable, Multi-vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface

Fuente: arXiv
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Autori principali: Villa, Davide, Khan, Imran, Kaltenberger, Florian, Hedberg, Nicholas, da Silva, Ruben Soares, Kelkar, Anupa, Dick, Chris, Basagni, Stefano, Jornet, Josep M., Melodia, Tommaso, Polese, Michele, Koutsonikolas, Dimitrios
Natura: Preprint
Pubblicazione: 2023
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author Villa, Davide
Khan, Imran
Kaltenberger, Florian
Hedberg, Nicholas
da Silva, Ruben Soares
Kelkar, Anupa
Dick, Chris
Basagni, Stefano
Jornet, Josep M.
Melodia, Tommaso
Polese, Michele
Koutsonikolas, Dimitrios
author_facet Villa, Davide
Khan, Imran
Kaltenberger, Florian
Hedberg, Nicholas
da Silva, Ruben Soares
Kelkar, Anupa
Dick, Chris
Basagni, Stefano
Jornet, Josep M.
Melodia, Tommaso
Polese, Michele
Koutsonikolas, Dimitrios
contents The transition of fifth generation (5G) cellular systems to softwarized, programmable, and intelligent networks depends on successfully enabling public and private 5G deployments that are (i) fully software-driven and (ii) with a performance at par with that of traditional monolithic systems. This requires hardware acceleration to scale the Physical (PHY) layer performance, end-to-end integration and testing, and careful planning of the Radio Frequency (RF) environment. In this paper, we describe how the X5G testbed at Northeastern University has addressed these challenges through the first 8-node network deployment of the NVIDIA Aerial RAN CoLab (ARC), with the Aerial Software Development Kit (SDK) for the PHY layer, accelerated on Graphics Processing Unit (GPU), and through its integration with higher layers from the OpenAirInterface (OAI) open-source project through the Small Cell Forum (SCF) Functional Application Platform Interface (FAPI). We discuss software integration, the network infrastructure, and a digital twin framework for RF planning. We then profile the performance with up to 4 Commercial Off-the-Shelf (COTS) smartphones for each base station with iPerf and video streaming applications, measuring a cell rate higher than 500 Mbps in downlink and 45 Mbps in uplink.
format Preprint
id arxiv_https___arxiv_org_abs_2310_17062
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle An Open, Programmable, Multi-vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface
Villa, Davide
Khan, Imran
Kaltenberger, Florian
Hedberg, Nicholas
da Silva, Ruben Soares
Kelkar, Anupa
Dick, Chris
Basagni, Stefano
Jornet, Josep M.
Melodia, Tommaso
Polese, Michele
Koutsonikolas, Dimitrios
Networking and Internet Architecture
The transition of fifth generation (5G) cellular systems to softwarized, programmable, and intelligent networks depends on successfully enabling public and private 5G deployments that are (i) fully software-driven and (ii) with a performance at par with that of traditional monolithic systems. This requires hardware acceleration to scale the Physical (PHY) layer performance, end-to-end integration and testing, and careful planning of the Radio Frequency (RF) environment. In this paper, we describe how the X5G testbed at Northeastern University has addressed these challenges through the first 8-node network deployment of the NVIDIA Aerial RAN CoLab (ARC), with the Aerial Software Development Kit (SDK) for the PHY layer, accelerated on Graphics Processing Unit (GPU), and through its integration with higher layers from the OpenAirInterface (OAI) open-source project through the Small Cell Forum (SCF) Functional Application Platform Interface (FAPI). We discuss software integration, the network infrastructure, and a digital twin framework for RF planning. We then profile the performance with up to 4 Commercial Off-the-Shelf (COTS) smartphones for each base station with iPerf and video streaming applications, measuring a cell rate higher than 500 Mbps in downlink and 45 Mbps in uplink.
title An Open, Programmable, Multi-vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface
topic Networking and Internet Architecture
url https://arxiv.org/abs/2310.17062