SearcharxivSearch

arXiv · 2509.01891

FCT O-RAN: Design and Deployment of a Multi-Vendor End-to-End Private 5G Testbed

Abstract

The transformation of 5G networks into software-defined, agile, intelligent and programmable architectures necessitates a paradigm shift in deployment strategies. To deliver superior performance and surpass traditional systems, public and private 5G networks must adopt software-centric cloud native frameworks that enable flexibility through tailored configurations and optimized deployment approaches. In Singapore, the Infocomm Media Development Authority (IMDA) and the National Research Foundation Singapore (NRF) launched the Future Communications Research and Development Programme (FCP) to advance the nation's communications and connectivity landscape. At the core of this initiative is the Future Communications Translation Lab (FCT) at the Singapore Institute of Technology (SIT), which focuses on advancing 5G technologies to higher readiness levels, facilitating their adoption across various industries. A key component is the deployment of FCT O-RAN, a state-of-the-art multi-vendor private 5G platform. The setup includes a 5G core network powered by Microsoft Affirmed and ENEA, O-RAN Centralized and Distributed Units from Radisys. Indoor Remote Units are deployed with Foxconn, while outdoor RUs are deployed with Benetel. To optimize the deployment of remote units, a digital twin was created using Wireless InSite, and performance evaluations were conducted for both the digital twin and the private 5G deployment. Smartphones equipped with QualiPoc were used to measure network performance. The testbed demonstrated effective performance with optimized bandwidth allocations for both indoor and outdoor environments. In the indoor setup, utilizing 50 MHz of bandwidth, a downlink throughput of 713 Mbps and an uplink throughput of 66 Mbps were achieved. Meanwhile, the outdoor setup, utilizing 40 MHz of bandwidth, achieved a downlink throughput of 371 Mbps and an uplink throughput of 55 Mbps.

Explore related subjects

Keep this discovery

BibTeXRIS

Amogh PC, Nagamuthu Vignesh, Pei Yiyang, Neelakantam Venkatarayalu, Pedro Henrique Amorim Rezende, Shyam Babu Mahato, Sumei Sun. 2025-09-02. FCT O-RAN: Design and Deployment of a Multi-Vendor End-to-End Private 5G Testbed. https://arxiv.org/abs/2509.01891

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Message-Level Scheduling for RLNC-Coded Multi-Source Traffic

This paper studies weighted decoding-delay minimization for multiple RLNC-coded message streams that compete for finite processing capacity at a destination. Packet arrivals are exogenous, while the scheduler only determines the processing order of packets already available at the destination. A trace-conditioned offline scheduling formulation shows that a batch-release subclass is strongly NP-hard even with a single processing unit. Message-Aware Innovation-Deficit Scheduling (MAIDS) is then developed to prioritize each serviceable message according to its weight and remaining decoding deficit. For a single processing unit, MAIDS is shown to be exactly optimal under nonblocking progressive arrivals with equal weights and under common activation with arbitrary positive weights, while the unrestricted weighted online problem admits no universal deterministic $O(1)$ competitive ratio. Simulation results on streaming and batch benchmarks show that MAIDS consistently reduces weighted decoding delay relative to the tested baselines, remains close to the offline optimum on average, and recovers the predicted exact performance boundaries.

cs.NI

The Towers Were Standing: A Cause Decomposition of Cellular Outages During Hurricane Helene

Hurricane Helene produced the largest absolute cell-site outage in the public FCC record, peaking at 4562 sites. The conventional model is physical: towers destroyed. Helene did destroy over 1700 miles of fibre, but almost none of it was cell sites. We present the first cause-decomposed study of the FCC's Disaster Information Reporting System, reconstructing 80 state-days and 580 county-days from 24 daily filings by two reconciled independent extractions. Damage to cell sites is negligible: 1.1% of attributed cell-site-days across six states, at most 3.8% anywhere. The sites were standing. What took them out divides by terrain: pooled, power dominates at 63.2%, but in mountainous North Carolina severed transport (backhaul) reaches 52.2% against 47.3%, and in Tennessee 69.9%. North Carolina's transport share rises from 7.0% to 85.0% across the event (\r{ho} = 0.92). Seventeen days after landfall, on 15 October, 47 sites lost transport across six contiguous North Carolina counties with no rainfall, no power loss, no damage, and recovery by the next report. Independent active-probe measurement corroborates it: responsive /24s fall 1.02% for twelve hours while Tennessee stays flat. We release the dataset. Backup power is the standard resilience investment; here it addresses the smaller half of the problem.

cs.NI

terms.txt: A Consent and Compensation Protocol for Agentic Web Access

The open web ran on an unwritten bargain: sites admitted crawlers, and search engines sent visitors back. Public measurements show that bargain breaking under AI crawlers and agents. Automated clients now make up most requests, training dominates Cloudflare-classified crawling, and the largest AI platforms fetch thousands of pages for each visitor they return. The web's common control, robots.txt, cannot express identity, purpose, terms, or price, can be circumvented, and newer alternatives are largely proprietary CDN features. We specify terms.txt, a robots.txt-style file for per-path, per-purpose machine-access terms, plus an origin-enforced exchange using Web Bot Auth signatures, signed intent, delegation tokens, HTTP 402 negotiation, and signed receipts. We define what the exchange can enforce, audit, and leave to contract. A dependency-free implementation adds 0.20 to 0.65 ms per request on one vCPU.

cs.NI