D · Data I · Info K · Knowledge W · Wisdom E · Execution Intent
I20 · AsAI · E2E Mgmt · Network AI
D12 · AAI · E2E Mgmt · Network AI
O8 · PAI · E2E Mgmt · Network AI
H6 · RAN
T4 · Access
A topology-first, optical-native architecture for AI-native networks.
Topology-First. Intent-Native. Physically Real.
23
WHITE PAPERS
5
POLY LAYERS
3
AI LAYERS
0
PACKET SW.
6
DIKWEI
00 Architecture at a Glance
Physical Layer
Polyhedral nodes · MOCT · Parallel optical cores · Zero packet switching
Spatial Layer
Topology-first · Pre-coordinate space · Digital DNA · Path formation
AI Layer
PAI · AAI · AsAI · Cube memory · DIKWEI cycle · Lifelong data
Identity Layer
Manufacturing-time identity · Path authority · Structural trust
Governance Layer
Q2–Q7 hierarchy · IVGF · Sovereign projection · City E2E
OPERATIONAL SYSTEMS — #14 · #15 · #16 · #17 · #18 · #19 · #20 · #21 · #22 · #23
↓ PDF
# 14
City-level E2E Management Center
Urban Infrastructure Architecture
7 structural public safety channels as permanent public infrastructure. PAI sovereignty preserved. City governance fully independent of ISPs.
CITY · PUBLIC SAFETY
↓ PDF
# 15
Identity White Paper
Network-Native Identity & Path Authority
Identity provisioned at manufacturing time. Not a locator or session ID — a structural constraint set. Trust is structural, not procedural.
IDENTITY · TRUST
↓ PDF
# 16
Path Formation White Paper
Structural Path Emergence
Paths do not route — they form through structural matching. Connection is not granted; it is a structural consequence.
PATH · FORMATION
↓ PDF
# 17
Path Lifecycle White Paper
Continuity, Mobility & State Transition
Paths persist as identity-bound stateful entities. Mobility = state transition, not re-formation. Make-before-break handover.
LIFECYCLE · MOBILITY
↓ PDF
# 18
Network AI & Global Governance
Projection-Based Sovereign Architecture
Higher layers project structural states — they never issue commands. Q7→Q6→Q4→Q3→Q2. Governance through verification, not control.
GOVERNANCE · GLOBAL · Q2–Q7
↓ PDF
# 19
Cognition Cube System
AI-Native 6G Cognitive Framework
A revolutionary AI-Native framework for 6G networks. Real-world signals transform into cognitive units — optimizing multi-channel communication for intelligent networks.
COGNITION · AI-NATIVE · 6G
↓ PDF
# 20
Node Intelligence & Optical Parallelism
The Self-Aware Core Configuration Architecture
How Velsanet nodes recognize themselves and their neighbors. Node intelligence beginning at O8 (PAI) enables hypercube-conformant connectivity and AI-requested optical parallelism.
NODE INTELLIGENCE · OPTICAL PARALLELISM
↓ PDF
# 21
AI Safety by Architecture
Why Direct Access to AI Must Be Structurally Impossible
Safety cannot be achieved through rules alone — it must be embedded in the structure itself. PAI → AAI → AsAI is a structural safety chain.
AI SAFETY · STRUCTURAL INVARIANT
↓ PDF
# 22
H6-Based 6G RAN Architecture
Structure-Native Radio Access Without DU/CU
6G ultra-small cell base station connects via MOCT ribbon cable. DU and CU are structurally absent. Mobility managed by O8-centered system.
6G RAN · MOBILITY · DU/CU-FREE
↓ PDF
# 23
6G RU: Multi-User Physical Mapping
Structure-Native Physical Path Direct Mapping (No-Switching)
Hardware design specification of the Velsanet 6G RU. Maps multiple user signals directly to physical optical cores without software scheduling. Key: 8-channel spatial multiplexing and TCA.
6G RU · PHYSICAL MAPPING · NO-SWITCHING
DEP Deployment Architecture
🏗
WHAT IS THIS SECTION?
SEO (Site Engineering Order) documents translate architectural principles into physical deployment plans with measurable engineering parameters.
CITY-SCALE DEPLOYMENT DOCUMENTS
SEO · 01
Velsanet City Deployment Design
Physical Implementation · Node Density · CapEx Model
Translates the Velsanet architecture into a deployable city-scale network model.
CITY · NODE DENSITY · CAPEX
SEO · 02
Next Deployment Document
Coming Soon
PLANNED
DOCUMENT HIERARCHY
WP #01–23
Architecture · Principles
SEO · 01+
Deployment · Engineering
City Pilot
Real-World · Implementation
01 Interactive Visualizations
WHITE PAPER #01 · #05 · ENGLISH
Polyhedral Topology Explorer
Click each of the 5 polyhedra — T₄ C₆ O₈ D₁₂ I₂₀ — to explore structural role, E2E path count, AI layer, and color identity.
🧠
WHITE PAPER #08 · ENGLISH
DIKWEI Cognitive Cycle
Data→Information→Knowledge→Wisdom→Execution→Intent.
🌐
WHITE PAPER #18
Q2–Q7 Governance Architecture
Order without control. Higher layers project structural states — they never command.
WHITE PAPER #16 · #17
Path Lifecycle Simulator
Active → Standby → Overlapping → Degraded → Terminating.
🎨
WHITE PAPER #13
Node Color System
Color is structural law. Cyan · Gray · Blue · Green · Violet — each class permanently assigned.
WHITE PAPER #03 · #04
MOCT Parallel Optical E2E
No packet switching. No routing tables. 100–1,000+ simultaneous optical cores.
🇺🇸
WHITE PAPER #06 · ENGLISH
T·C·I·E·M Cube Processing Flow
Interactive simulation from SEU formation through the full cognitive loop.
🇰🇷
WHITE PAPER #06 · KOREAN
T·C·I·E·M 큐브 처리 과정
SEU 형성부터 PAI→AAI→AsAI 루프까지 인터랙티브 시뮬레이션.
🇺🇸
WHITE PAPERS #06 · #08 · #15 · ENGLISH
PAI Personal Lifelong Data
From birth to death — how T, I, and M axes hold complete cognitive existence.
🇰🇷
WHITE PAPERS #06 · #08 · #15 · KOREAN
PAI 전생애주기 데이터
출생부터 사망까지 T·I·M Axis가 한 사람의 전체 인지 생애를 구조적으로 담는 방식.
02 Live Implementation — Try It Now

Connect directly to the live Velsanet API and build a real Cognition Cube from sensor inputs.

Cognition Cube Builder
Live API · velsanet-whitepapers.onrender.com
↗ OPEN SWAGGER DOCS
NAI Network AI Design Specification VELSA-NET-AI-SPEC-001
WHAT IS NETWORK AI?
Intelligence Embedded in Network Topology
Network AI is not software running on a server — it is a structural layer co-located with the physical Velsanet node. At each layer (O8 · D12 · I20), a dedicated AI instance manages topology recognition, neighbor discovery, path formation, and hierarchical reporting.
O8 · Q7
Local HC Domain
Self-recognition 4-stage · 7-bit HC address · Neighbor discovery via 7 Axes · 4 structural reports → D12
D12 · Q6
Regional Convergence
6-bit HC address · Sector coordination · Collects O8 reports · Aggregates → I20
I20 · Q5
National Sovereign
5-bit HC address · Sovereign policy governance · D12 report collection · AsAI interface
TECHNICAL SPECIFICATION — COMPLETE DESIGN DOCUMENT
VELSA-NET-AI-SPEC-001 · v2.0 · 2026.03
Velsanet Network AI Complete Specification
HC Topology · Self-Recognition 4-Stage · Neighbor Discovery · Path Mechanism · Structural Reports · Hierarchical Reporting
The definitive technical specification integrating all Network AI design: O8 4-stage self-recognition, Q7 hypercube neighbor discovery, Bit-Fixing path formation, 4 structural report types, and the complete O8→D12→I20 reporting hierarchy. 9 chapters, 660+ paragraphs.
O8 SELF-RECOGNITION — 4 STAGES
STAGE 1
Equipment Name Recognition
WI verification → HC address A-XX-XXXXXXX confirmed · Node type identification
STAGE 2
Face Information Acquisition
8 Faces (F0–F7) connected/unconnected status · Optical core state verification · WI cross-check
STAGE 3
HC Topology Construction
7-Axis neighbor discovery · Q7 hypercube auto-completion · Bit-Fixing path: 0000000→1110000 (3 hops)
STAGE 4
Response Initiation
REGISTER transmission · PAI / E2E Management Center activation signal · HC network participation confirmed
O8 STRUCTURAL REPORTS — 4 TYPES
REPORT TYPE 01 · 10min / Instant on fault
Structural Resilience Report
→ D12 Network AI
Failed Axis number and neighbor node address · Dimension reduction analysis · Self-recovery path computation using horizontal neighbors only
REPORT TYPE 02 · 30min / On bottleneck threshold
Downward Convergence Report
→ D12 Network AI
Per-Face traffic distribution (F0–F7) · Bottleneck node identification · Sub-node address schema consistency validation
REPORT TYPE 03 · 1hr / Instant on policy violation
Sovereign Policy Compliance Report
→ I20 Network AI (Direct, bypasses D12)
Per-Axis isolation level · Sleep mode energy savings · Sovereign packet shortest path occupancy verification
REPORT TYPE 04 · 30min / On boundary load excess
Inter-Sector Interference Report
→ D12 Network AI
Boundary Load (threshold 40%) · Hand-over latency · Gateway Axis optical core health status
HIERARCHICAL REPORTING FLOW
O8 NAI
4 REPORTS
Type 01, 02, 04
D12 NAI
REGIONAL
Aggregated
I20 NAI
SOVEREIGN
O8 NAI
Type 03 (Sovereign Policy) → I20 Direct (D12 bypass)
03ITU-T Standardization
ITU-T SG13 Q1/13 · IMT-2030 TTA SUBMITTED · 2026
Velsanet: A Topology-First, Optical-Native Architecture
for AI-Native Next-Generation Networks
COM13-C-XXXX-E · Velsanet Architecture Group · Republic of Korea
↓ DOWNLOAD CONTRIBUTION
ABSTRACT
This contribution proposes a fundamentally new network architecture for IMT-2030 (6G) and beyond, designated Velsanet.
STRUCTURE ANALYSIS REPORT
Velsanet Structure Analysis Report
A comprehensive structural mapping of all 23 white papers across 9 architectural layers, with 6 formal Work Item proposals for IMT-2030 standardization.
↓ PDF REPORT
SUBMISSION PATH
TTA (Korea) → ITU-T SG13
TTA SUBMITTED · ACTIVE
04Full Architecture Compendium
PDF · ALL 23 WHITE PAPERS · 228+ PAGES
Velsanet Architecture
Compendium 2026
The complete collection of all 23 white papers in a single document. Formally submitted to ITU-T SG13 for IMT-2030.
↓ DOWNLOAD PDF
INDIndustry Platform Mapping

These reports examine how Velsanet's structural concepts map to real-world hardware platforms.

REPORT 01 · IP LICENSING PATH
ARM + Samsung
PAI → Cortex-M55 + Ethos-U65 · AAI → Cortex-X4 + Mali · AsAI → Neoverse V2 · MOCT → Samsung Foundry SF3/SF4
REPORT 02 · GPU-NATIVE PATH
NVIDIA + TSMC
PAI → Jetson Orin NX · AAI → Grace-Hopper GH200 · AsAI → Blackwell GB200 NVL72 · MOCT → TSMC SiPho N3P
REPORT 03 · NETWORK INFRA PATH
Intel + Broadcom
PAI → Core Ultra NPU · AAI → Xeon + Gaudi 3 · AsAI → Broadcom XPU ASIC · MOCT → Intel Foundry 18A
GLOBAL REPORT · CROSS-PLATFORM ANALYSIS
Global Industry Platform Mapping
Organized by Velsanet architectural layer — not by platform. For each layer (MOCT, PAI, AAI, AsAI), all three platform options compared side by side.
All reports are independent analyses. No partnerships exist. Velsanet Architecture Group · Republic of Korea · 2026
05Inquiries & Collaboration
RESEARCH · PARTNERSHIP · INVESTMENT
Shape the Future
of Network Architecture
Velsanet is an open architectural initiative. We welcome inquiries from researchers, engineers, investors, and institutions.
Academic & Research Collaboration
Industry Partnership & Licensing
Investment & Funding Inquiry
ITU-T / Standards Body Engagement
Send an Inquiry
Questions, proposals, and collaboration requests welcome.
Open Inquiry Form
Google Forms · Responses reviewed by the Velsanet Architecture Group