gunnchOS

Oulu preparation · STAGING_WORKER

RF front-end lab

Independent portfolio lab for RF front-end preparation.

Independent readiness lab. This page is not a University of Oulu affiliation and it is not a live Oulu testbed.

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Explore evidence

Evidence class: REFERENCE_IMPLEMENTATION. The selector lists calculated link-budget and LNA table text. It is not a measured front end.

Records copied from this repository

Overview

Overview

# gunnchOS RF Front-End Lab > This repo is part of the **gunnchOS wireless engineering spine**: hands-on labs that strengthen the technical foundation behind 7GC, AI-RAN, RF, DSP, MIMO, measurement, and **6G PhD readiness** for target wireless communications engineering programs. Not affiliated with any university.

What this is

Research and teaching lab for **target wireless communications engineering programs**-aligned skills — built as an independent portfolio project.

Why wireless engineering readiness cares

Link budgets, matching, filters, LNAs — complements gunnchos-hardware-industrial-design.

Methods

Methods are the formulas in src/gunnchos_rf/link_budget.py and lna_noise_gain.py. The numbers on this page are copied from results/tables/link_budget.md and results/tables/lna_tradeoff.md. They are calculated reference lines, not a measured link.

Native research runtimes stay on a local checkout. This page shows repository records only.

Artifacts

Source

Source repository

Pinned source 6d0d6852192c745a996f343ac2a08c6039a56b05

Limitations

About / Build status / Evidence

What is this?

Independent portfolio lab for RF front-end preparation.

The research code is not executing here. This is a research surface.

Why does it exist?

It gives this repository a public web surface inside the gunnchOS ecosystem without pretending the original runtime runs on Cloudflare Workers.

What can I actually do with it today?

Use the primary action to inspect repository records, then open the source for the local toolchain.

What is not finished?

STAGING_WORKER

Runtime mode on this page: PRECOMPUTED. No remote model call is made.