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- Jul 30, 2026
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- #1
Short answer: Choose from the exact RAN, UE, core, split and research feature required. Both projects support cellular research, but architecture, configuration, release support and hardware integration differ; compare one reproducible target scenario rather than asking which is universally better.
Before you start
- Run private cellular experiments in an authorized, shielded or tightly conducted RF environment with sufficient attenuation between radio ports.
- Record RAN, core, UHD, firmware and operating-system versions together; a working configuration is a matched software and hardware set.
Step-by-step method
- Step 1: Write the required role: gNB, UE, core, O-RAN split, NSA or SA mode, band and bandwidth. Eliminate a stack that does not support the exact scenario in its current documentation.
- Step 2: Check supported SDR driver, real-time kernel and CPU requirements for the selected release. Use known example configurations as baselines.
- Step 3: Build each candidate in a separate environment and run the same attenuated RF scenario, subscriber data and traffic test.
- Step 4: Compare attach reliability, log clarity, CPU headroom, automation, code areas to modify and the maintenance effort for future updates.
Concrete example
A university modifying lower-layer algorithms may value one codebase's research hooks, while a small private-SA demonstration may value simpler documented deployment in the other. The correct answer changes with the experiment.How to judge the result
The comparison is valid when both stacks are tested against the same hardware, RF path and success criteria, with exact versions recorded.What to record
- Troubleshoot registration in order: RF synchronization, broadcast system information, random access, RRC, authentication, security mode and PDU session.
- Monitor CPU scheduling, USB or network throughput, clock state and RAN logs during a sustained cell test.
- Use spectrum analysis and power calculation to confirm that leakage outside the controlled path remains below the lab requirement.
Common mistakes
- Changing several hardware, software or RF variables at once, which removes the controlled comparison needed to identify the cause.
- Treating one autoscaled screenshot or one unusually good result as proof without recording the settings and repeating the test.
- Using feature lists from old releases can select a stack for a capability that has moved, changed or is no longer supported in the same way.