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 Research Cloud (ARC), with the Aerial 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 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.Comment: 6 pages, 9 figures, 4 table