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Open-Source 5G RAN Platforms: A Dual Perspective on Performance and Capabilities

▲ 52 points • 5 comments • by teleforce • 3d ago • HN discussion ↗

Pangram verdict · v3.3

We believe that this entire text is human-written.

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AI likelihood · overall

Human
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SEGMENTS · HUMAN 5 of 5
SEGMENTS · AI 0 of 5
WORD COUNT 221
PEAK AI % 0% · §4
Analyzed
Nov 3
backend: pangram/v3.3
Segments scanned
5 windows
avg 44 words each
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100 / 0%
human / AI fraction
Verdict
Human
Pangram v3.3

Article text · 221 words · 5 segments analyzed

Human AI-generated
§1 Human · 0%

View PDF Abstract:Open-source implementations of the fifth generation (5G) Radio Access Network (RAN), such as OpenAirInterface (OAI) and srsRAN, have become increasingly relevant for industry and academic research, rapid prototyping, and low-cost private 5G deployments. The state of the art presents different evaluation scenarios for both platforms; however, these are often limited to individual testbed evaluations, end-to-end studies, or partial comparisons between them. In particular, there is a lack of evaluations considering different Software-Defined Radios (SDRs), RAN configurations, user applications, and numbers of real UEs. To address this gap, this paper presents a comparative evaluation of OAI and srsRAN.

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The study includes a qualitative assessment of supported features and deployment flexibility, followed by a quantitative performance analysis covering radio resource control setup procedures, compliance with theoretical data rates, and real application workloads with diverse quality of service requirements.

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Specifically, we consider Video on Demand (VoD) for data rate evaluation, Live Streaming (LS) and Cloud Gaming (CG) as latency-sensitive applications.

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These workloads provide a comprehensive view of each platform capability.

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Comments: This paper has been published in IEEE WCPNS 2025 Subjects: Networking and Internet Architecture (cs.NI) Cite as: arXiv:2608.25820 [cs.NI] (or arXiv:2608.25820v1 [cs.NI] for this version) https://doi.org/10.48550/arXiv.2608.25820 arXiv-issued DOI via DataCite Journal reference: 10.1109/WCNPS69127.2025.11295920 Submission history From: Maria Katarine Santana Barbosa [view email] [v1] Wed, 26 Aug 2026 14:02:05 UTC (3,769 KB)