credkellar/lte-6g repository overview

⁠📡⚡ LTE-6G — LTE to 6G Internet Converter

🌐 A converter that takes an LTE (4G) cell in one end and produces its 6G conversion out the other — the link model recomputed on real Shannon + path-loss physics, every QCI bearer mapped into 6G slices LTE never had, and a KEEP / UPGRADE / NEW / HOLD plan for the real-world build — guarded by a sandbox-api chamber, HoneypotX, and a Carbon 4 + Muse council.

👨‍💻 By Darion Kellar · 📜 MIT License · 🐍 Python stdlib only, zero dependencies · 🏷️ v1.0.0

⁠🔄 Updated Workflows

Two workflows ship in workflow-pack/ and are pasted by the repo owner into .github/workflows/ (plural — GitHub Actions only reads that exact folder; the GitHub App cannot write workflow files, so this step is the owner's):

▶️ ci.yml — on push / pull request / manual dispatch: Python 3.12 → pytest tests/ -q → python main.py checks → demo smoke test. 🐳 docker-publish.yml — on push to main / manual dispatch: Docker Hub login with the DOCKERHUB_USERNAME / DOCKERHUB_TOKEN repo secrets → build & push credkellar/lte-6g:latest.

⁠🧰 Tech Stack Badges

💻 Core: Python 3.12 · Shannon + FSPL link model · zero dependencies 📡 Radio: LTE (4G) → 6G modelled · slices eMBB+ / URLLC++ / mMTC+ / Q-SLICE 🛡️ Security: sandbox-api chamber · HoneypotX · 14 HOLD gates 🧠 AI Council: Gemini Carbon 4 Extended Thinking (DECIDER) · Muse (advisor, authority none) ⚙️ DevOps: Docker · GitHub Actions CI (pending owner's workflow paste) 📜 Project: MIT License · Tests 12 passed · Checks 27/27 · Status: Simulation

Web3: honestly none - this is a radio-network converter, not a chain project.

⁠📖 What is this about?

📶 Almost every mobile network on Earth still runs on LTE (4G) — one 20 MHz carrier at a time, no network slicing, QoS handled by old EPS bearers (QCI 1–9), and a packet core (the EPC) designed in the 2000s. 6G is the next generation being designed now: aggregated sub-THz spectrum, 256-element arrays, network slices for every traffic class, and latency targets 100× tighter.

🔀 LTE-6G is about the jump between those two worlds. It answers, with working code instead of a slide deck: if you take THIS LTE cell — this band, this carrier width, this many streams — what does its 6G conversion actually look like? How much faster is the model? What happens to voice, video and IoT traffic that LTE carries on bearers? What can you keep, what must you upgrade, and what is brand new?

🧮 It uses the same link physics as Darion's Q6G-1TB project (Shannon capacity + free-space path loss), so the two projects' numbers are directly comparable — a converted LTE cell lands right next to the Q6G-1TB link it feeds into.

⁠⚙️ What this does?

1. 📥 Takes an LTE profile in — lte (Band 3, 1.8 GHz, one 20 MHz carrier, 2 streams, 64-QAM) or lte-advanced (Band 7, 2.6 GHz, 5-carrier aggregation = 100 MHz, 4 streams, 256-QAM).
2. 🧮 Recomputes the link on the 6G model — the LTE band stays as coverage anchor; the 60 / 140 / 300 GHz 6G layers (24 GHz) aggregate on top; streams scale to 8; the array becomes 256 elements; modulation cap rises to 4096-QAM; overhead drops 25% → 15%.
3. 📊 Reports the gain honestly — capacity ×, bandwidth ×, latency before/after, plus a distance sweep (10 / 100 / 500 / 1000 m) because sub-THz fades fast.
4. 🗂️ Creates the slice layer LTE never had — all 9 QCI bearer classes (voice, video, gaming, signalling, default data…) are assigned to 6G slices: eMBB+, URLLC++, mMTC+, and the new Q-SLICE.
5. 📋 Writes the real-world plan — KEEP (fibre, SIM, anchor band, site) · UPGRADE (array, streams, eNodeB, EPC → 6G core) · NEW (slicing, sub-THz radios, spectrum licence, QKD keys) · HOLD (live cutover, live transmission).
6. 🧪 Triages every conversion payload through the sandbox-api chamber — copied verbatim from Darion's sandbox-api implementation; payloads are data only, never executed, network attempts always 0. Result on the built-in set: 7 payloads → 4 allowed / 3 held.
7. 🍯 Watches the doors with HoneypotX — honeyroot-x style log analysis over synthetic trap logs for the converter's management surfaces: 12 attempts classified (scanner 4 · env harvest 3 · LFI 2 · SQLi 2 · upload 1), top threat 100, no listener ever opened, no access ever granted.
8. 🧠 Runs the council — Gemini Carbon 4 Extended Thinking decides (MAP → MODEL → STRESS → DECIDE, tiers 2048 / 8192 / 32768), Muse advises (exactly 4 items, authority none), strictest wins.
9. ⛔ Holds everything live — 14 HOLD gates: live carrier conversion, live subscriber cutover, real RF transmission, firmware flashing, live HoneypotX listener, live sample detonation, and more.

📈 The headline numbers (modelled @ 100 m, verified by the test suite):

⁠🔬 How this works?

flowchart TD
    A[📶 LTE profile<br/>lte / lte-advanced] --> B[🧪 sandbox-api chamber<br/>payload triage: data only, never executed]
    B -- allowed --> C[🔀 converter.convert_link<br/>anchor band + 60/140/300 GHz layers]
    B -- held --> X[⛔ HOLD_IN_CHAMBER]
    C --> D[🧮 link model<br/>Shannon + FSPL, both generations]
    C --> E[🗂️ slices: QCI 1-9 → eMBB+ / URLLC++ / mMTC+ / Q-SLICE]
    C --> F[📋 upgrade plan<br/>KEEP / UPGRADE / NEW / HOLD]
    D --> G[📊 conversion report<br/>gain, sweep, honesty flags]
    E --> G
    F --> G
    H[🍯 HoneypotX<br/>trap-log analysis, no listener] -. watches .-> B
    I[🧠 Council: Carbon 4 DECIDER + Muse advisor] -. judges .-> G
    G --> J{⛔ Live action?}
    J -- Yes --> K[🛑 HOLD gate - Darion approves]
    J -- No, model only --> L[✅ Report delivered]

Step by step:

1. 🎯 You pick a profile (python main.py convert lte).
2. 🧪 Its conversion payloads pass the sandbox-api chamber first — a static marker scan (eval / exec / shell / socket markers → held). Nothing is ever executed.
3. 🔀 The converter keeps the LTE band as the coverage anchor and aggregates the three 6G layers on top, scaling streams, antennas, modulation and overhead to the 6G rules.
4. 🧮 The link model prices both sides with identical physics: capacity = bandwidth × Shannon efficiency(SNR) × streams × (1 − overhead), with SNR from FSPL + beamforming gain.
5. 🗂️ The slice mapper assigns every QCI bearer class to a 6G slice — creating a slice layer where LTE had none.
6. 📋 The planner splits the real build into KEEP / UPGRADE / NEW / HOLD.
7. 🍯 HoneypotX classifies recorded probes against the converter's doors (log analysis only — it never opens a port).
8. 🧠 The council judges the request: Carbon 4 decides, Muse advises, strictest wins — a live conversion request ends at HOLD.

⁠😎 Why is this is cool?

⁠🏆 10 reasons why this is cool

1. ⏭️ It skips a whole generation — most upgrade talk is LTE → 5G or 5G → 6G; this converter prices the direct LTE → 6G jump, two core generations in one plan.
2. 🧮 Real physics, not typed numbers — Shannon + FSPL compute every figure; change a band or a stream count and the answer changes for a physical reason.
3. 🎯 The gain is enormous and it shows its work — ×8,936.1 modelled capacity for classic LTE, with the full distance sweep printed so you can watch sub-THz fade.
4. 🗂️ It invents the slice layer honestly — LTE has no slices to rename, so the converter creates them from QCI classes and says exactly that.
5. 📋 KEEP / UPGRADE / NEW / HOLD is a plan a builder can use — fibre and SIMs carry over, THz radios and licences are called out as genuinely new, live cutover is held.
6. 🧪 A detonation chamber guards the input — the sandbox-api chamber (Darion's own, 8,463-pull Docker image lineage) triages every payload and never executes any of them.
7. 🍯 HoneypotX watches the doors — probes against the converter's management pages are classified and scored from trap logs, with zero ports opened to do it.
8. 🧠 Two AI brains, one rule — Carbon 4 Extended Thinking decides with a visible MAP → MODEL → STRESS → DECIDE trace; Muse advises and can never override; strictest wins.
9. 🔗 It connects straight into Q6G-1TB — same bands, same physics, same council: a converted cell's 1.61 Tbps modelled link is the Q6G-1TB link's sibling, not a stranger.
10. 🪶 Zero dependencies, one entry point — pure Python stdlib, python main.py demo, runs anywhere Python 3.12 runs, including a phone terminal.

⁠🧩 What problems this solves?

⁠🛠️ 10 solutions

⁠💻 How to install this? Step-by-step

Step 1 — 📥 Clone it

git clone https://github.com/credkellar/LTE-6G.git
cd LTE-6G

Step 2 — 🐍 Check Python (3.12 recommended; nothing to pip-install — zero dependencies)

python3 --version

Step 3 — 🚀 Run the full demo

python main.py demo

Step 4 — 🔀 Convert one LTE profile

python main.py convert lte
python main.py convert lte-advanced
python main.py convert-all

Step 5 — 🗂️ See the bearer → slice map, the chamber, and HoneypotX

python main.py slices
python main.py sandbox
python main.py honeypot

Step 6 — ✅ Verify the build (expected: 12 passed and CHECKS 27/27)

pip install pytest
python -m pytest tests/ -q
python main.py checks
python main.py hold-demo   # expected: HOLD message, exit code 2

Step 7 — 🐳 Or run it in Docker

docker build -t lte-6g .
docker run --rm lte-6g

Step 8 — 🔄 (Owner only) Turn on CI + Docker Hub — paste the two workflow-pack/ files under .github/workflows/ (plural folder, hand-typed names), add the DOCKERHUB_USERNAME / DOCKERHUB_TOKEN secrets, and the first Docker Publish run creates credkellar/lte-6g.

⁠📋 Requirements?

• 🐍 Python 3.12 (any 3.11+ should run it; CI tests 3.12)
• 📦 Zero pip dependencies for the tool itself — Python standard library only
• 🧪 pytest — only if you want to run the test suite
• 🐳 Docker — optional, only for the container run / publish
• 🔑 No API keys required — the council seats are offline and deterministic; GEMINI_API_KEY / MODEL_API_KEY are detected by name/presence only and are never read out, printed or stored (Muse usage on the real Meta Model API is pay-as-you-go, never free)
• 📶 No radio hardware, no carrier account, no spectrum — this is a model; anything live is HOLD-gated

⁠🧒 Explain in 5th grade English

📶 Think of LTE like an old road with one narrow lane. Cars (your videos, games and messages) have to share it, so traffic is slow and nobody gets their own lane.

⚡ 6G is like a huge new highway with many wide lanes, super fast cars, and special lanes — one for ambulances, one for trucks, one for bikes.

🔀 This project is a converter machine. You tell it about your old road ("one lane, this wide, at this place"). It does the math — real math that scientists use for radio waves — and shows you the new highway you would get: how much faster, how much wider, and how much quicker.

🗂️ On the old road, all cars were just lined up by type. On the new highway, the converter gives each type its own special lane for the first time.

🧪 Before anything goes into the machine, it passes through a safety box that looks at it but never turns it on. A fake door (HoneypotX) writes down who knocks but never opens. And 🧠 two smart helpers check every plan: one decides, the other can only give tips.

⚠️ The most important part: this machine is a model, like a model airplane. It shows you exactly what the real thing would be like, but a model cannot fly you anywhere. Building the real 6G highway needs real new towers, real new radios, and permission to use the new airwaves. Anyone who says a computer program alone can turn an LTE tower into a 6G tower is not telling the truth — and this project will never say that.

⁠🗺️ Mermaid flowchart diagrams — one per script

⁠🎛️ main.py — the one entry point

flowchart TD
    A[⌨️ python main.py] --> B{Command?}
    B -->|demo| C[🔀 Convert both + security + council]
    B -->|convert| D[📊 One profile report]
    B -->|slices| E[🗂️ QCI → slice map]
    B -->|sandbox| F[🧪 Chamber triage]
    B -->|honeypot| G[🍯 HoneypotX summary]
    B -->|council| H[🧠 Carbon 4 + Muse]
    B -->|checks| I[✅ Self-checks]
    B -->|hold-demo| J[⛔ HOLD gate, exit 2]

⁠📦 lte6g/__init__.py — the package map

flowchart LR
    A[📦 lte6g package] --> B[🧮 link + profiles]
    A --> C[🔀 converter + slices]
    A --> D[🛡️ sandbox_api + payloads + honeypotx]
    A --> E[🧠 council + gates]
    A --> F[✅ checks]

⁠🧮 lte6g/link.py — shared Shannon + FSPL physics

flowchart LR
    A[📏 distance + frequency] --> B[📉 FSPL path loss]
    C[📡 antenna count] --> D[🎯 beamforming gain]
    B --> E[📶 SNR at distance]
    D --> E
    E --> F[📐 Shannon efficiency, capped by QAM]
    F --> G[🚀 capacity = BW × eff × streams × 1 − overhead]

⁠📶 lte6g/profiles.py — LTE sources + 6G layers

flowchart TD
    A[📶 LTE profiles] --> B[📻 lte: B3 1.8 GHz, 20 MHz, 2 streams]
    A --> C[📻 lte-advanced: B7 2.6 GHz, 100 MHz CA, 4 streams]
    D[⚡ 6G layers] --> E[60 GHz · 2 GHz]
    D --> F[140 GHz · 10 GHz]
    D --> G[300 GHz · 12 GHz]

⁠🔀 lte6g/converter.py — the conversion itself

flowchart TD
    A[📶 LTE LinkConfig] --> B[⚓ Keep band as anchor]
    B --> C[➕ Aggregate 60/140/300 GHz layers]
    C --> D[🎚️ Streams ×4 cap 8 · antennas → 256 · 4096-QAM · overhead 15%]
    D --> E[📊 Report: gain + distance sweep + honesty flags]
    D --> F[📋 Plan: KEEP / UPGRADE / NEW / HOLD]

⁠🗂️ lte6g/slices.py — bearers become slices

flowchart LR
    A[🗂️ QCI 1 voice] --> U[⚡ URLLC++]
    B[🗂️ QCI 2/4/6/8/9 data + video] --> E[🌐 eMBB+]
    C[🗂️ QCI 3/5/7 gaming + signalling] --> U
    D[📟 LTE-M / NB-IoT] --> M[🔢 mMTC+]
    F[🚫 nothing in LTE] --> Q[🔐 Q-SLICE - NEW]

⁠🧪 lte6g/sandbox_api.py — the sandbox-api chamber (verbatim)

flowchart TD
    A[📥 Sample arrives as DATA] --> B[🗄️ Written to isolated temp dir]
    B --> C[🔍 Static analysis only]
    C --> D[📊 Telemetry: bytes, trace, FS diff]
    D --> E[🚫 network attempts = 0 · executed = false]
    E --> F[📤 Report + telemetry out]

⁠🎯 lte6g/payloads.py — conversion payload triage

flowchart LR
    A[🎯 7 conversion payloads] --> B[🔍 Marker scan]
    B -->|clean: config, QCI map, plan, slice policy| C[✅ 4 ALLOW_STATIC_STUDY]
    B -->|eval / socket / shell markers| D[⛔ 3 HOLD_IN_CHAMBER]

⁠🍯 lte6g/honeypotx.py — HoneypotX log analysis

flowchart TD
    A[📜 12 synthetic trap-log entries<br/>TEST-NET-3 IPs] --> B[🏷️ Classify: scanner / env / LFI / SQLi / upload]
    B --> C[⚖️ Threat score by class weight]
    C --> D[💥 Burst bonus: 5 attempts from one IP]
    D --> E[📊 Summary: top threat 100]
    E --> F[🚪 listener_open = false · access_granted = false]

⁠🧠 lte6g/council.py — Carbon 4 + Muse

flowchart LR
    A[❓ Request + risk] --> B[🧠 Carbon 4 DECIDER<br/>MAP → MODEL → STRESS → DECIDE]
    A --> C[💡 Muse advisor<br/>exactly 4 advice · authority none]
    B --> D{⚖️ Strictest wins}
    C --> D
    D --> E[✅ ALLOW_SIM / ⚠️ REVIEW / ⛔ HOLD]

⁠⛔ lte6g/gates.py — the 14 HOLD gates

flowchart LR
    A[⚡ Action requested] --> B{🏷️ On the HOLD list?}
    B -- Yes --> C[⛔ HoldGate raised<br/>Darion approves or it does not happen]
    B -- No --> D[✅ Model / local work proceeds]

⁠✅ lte6g/checks.py — self-checks

flowchart TD
    A[✅ 27 checks] --> B[🔀 Conversion gains + anchor kept]
    A --> C[🗂️ All QCI mapped · Q-SLICE new]
    A --> D[🧪 Chamber 4/3 · never executes]
    A --> E[🍯 HoneypotX 12 · top 100 · no listener]
    A --> F[🧠 Council holds live · allows sim]
    B --> G{🏁 All pass?}
    C --> G
    D --> G
    E --> G
    F --> G
    G -- Yes --> H[🚪 Exit 0]
    G -- No --> I[🚪 Exit 1]

⁠🧪 tests/test_converter.py — the test suite

flowchart LR
    A[🧪 pytest] --> B[📐 FSPL + Shannon caps]
    A --> C[🔀 Conversion gain + honesty flags]
    A --> D[🧪 Chamber + 🍯 HoneypotX invariants]
    A --> E[⛔ Gates fire · 🧠 council verdicts]
    A --> F[✅ checks.py all-pass test]

⁠🌳 Project structure

LTE-6G/
├── main.py                 # one entry point
├── README.md · LICENSE · Dockerfile
├── assets/cover.png        # cover (owner upload - binary)
├── lte6g/                  # link · profiles · converter · slices
│                           # sandbox_api · payloads · honeypotx
│                           # council · gates · checks
├── tests/test_converter.py # 12 tests
└── workflow-pack/          # ci.yml · docker-publish.yml (owner's paste)

⁠⛔ HOLD gates (14)

⁠🧠 The council

• 🧠 Gemini Carbon 4 Extended Thinking - DECIDER: model google/gemini-carbon-4-extended-pro-thinking, MAP → MODEL → STRESS → DECIDE, tiers 2048 / 8192 / 32768 (32768 default), offline, tighten-only, never overrides a HOLD gate; key detected by presence only.
• 💡 Muse - advisor: muse-spark-1.1 / muse-wonder-1.0, exactly 4 advice items, authority: none, key names-only (usage pay-as-you-go, never labelled free).
• ⚖️ Rule: strictest wins - a live conversion request ends at HOLD.

⁠✅ Verified (v1.0.0, 2026-11-10)

• 🧪 pytest 12 passed · ✅ checks 27/27 · 🚀 demo exit 0 · ⛔ hold-demo exit 2
• 📈 Modelled @100 m: lte ×8,936.1 · lte-advanced ×629.1 capacity gain
• 🧪 Chamber: 7 → 4 allowed / 3 held, executed = false, network = 0; sandbox_api.py sha256 28b3365c…, identical to Q6G-1TB and MonadDB-RE
• 🍯 HoneypotX: 12 attempts, top threat 100, 1 burst, listener closed
• 🏷️ All shields badge URLs checked live → HTTP 200 (workflow badges static-pending until the owner's paste)
• 🐳 Docker build not tested locally (no Docker on the build machine); Dockerfile = the Q6G-1TB slim pattern

⁠👨‍💻 Author

Darion Kellar - engineer / open-source builder. LTE-6G is the on-ramp to Q6G-1TB⁠: same physics, same council, same honesty rules. 📜 MIT License - see LICENSE.