ISACGateway Edge 6G ISAC Gateways & Point Cloud Interfaces

ISACGateway formalizes edge computing gateways bridging 3GPP Rel-19 6G base stations with autonomous robotics, real-time ROS 2 PointCloud2 export, and multi-tenant data sovereignty.

ISACGateway Edge Processing & Point Cloud API Stack

ISAC Core: Gateway Core — 3GPP Rel-19 & ROS 2 Point Clouds

6G ISAC Nodes & Beamforming Subsystems

3GPP Rel-19 Sensing Function
ROS 2 PointCloud2 Exporter
VDA 5050 Spatial Bridge
Edge AI Object Classifier
Multi-Tenant Security Proxy

Architectural Layers & Waveform Pipelines

Schicht 1: Dual-Funktionale Wellenform & Basisband (OTFS / OFDM-Radar / Fractional Fourier Transform / Ambiguity Function): OTFS-Modulation und fraktionierte Chirp-Synthese zur Vermeidung von Inter-Carrier-Interferenzen bei starken Doppler-Spreizungen.
Schicht 2: Massive MIMO & Beamforming-Frontends (140 GHz D-Band / True-Time-Delay (TTD) / Hybrid Analog-Digital Beamforming): Sub-THz-Phased-Array-Architekturen mit True-Time-Delay-Kompensation, simultanen Datenstrahlen und hochpraezisen Radar-Trackingkeulen.
Schicht 3: Radarsignalverarbeitung & 4D-Punktwolken (2D-FFT Range-Doppler / MUSIC AoA / CFAR Detection / Micro-Doppler Extraction): Subdezimeter-Entfernungs- und Geschwindigkeitsaufloesung, CFAR-Zieldetektion und Mikro-Doppler-Klassifizierung von Drohnenrotoren.
Schicht 4: Netzwerksensorik-Orchestrierung & 3GPP Rel-19 (3GPP Rel-19 ISAC Core / Sensing Function (SF) / Reconfigurable Intelligent Surfaces (RIS)): Zellfreie kollaborative Radarnetze und dynamische Ressourcenallokation zum Ausgleich von Kommunikations-SLA und Radar-Abtastraten.

Sensing Telemetry & Benchmarks: <5 cm (Entfernungsaufloesung) | 0.1 m/s (Geschwindigkeitsgenauigkeit) | <10 ms (Radar-Bildlatenz) | 3GPP Rel-19 (Globaler Standard)

3GPP Rel-19 Standards & Point Cloud APIs in ISACGateway

Raw cellular radar data must be transformed into standardized, consumable APIs for autonomous vehicles, industrial robotics, and municipal traffic systems. ISACGateway defines the edge server middleware converting 6G radar echoes into real-time ROS 2 point clouds and open analytics feeds.

Core Engineering Areas

3GPP Rel-19 Sensing Service Architecture and Core Interfaces — Standardized cellular 6G core network architecture formalizing how external applications request and consume radar sensing data.
Point Cloud Export and Robotics Integration APIs — Converting cellular radar point clouds directly into standard robotics formats consumed by autonomous mobile robots and self-driving cars.
Edge AI Semantic Target Classification Gateways — Deploying neural accelerators at cellular base stations to convert raw radar returns into rich semantic object classes (Car, Pedestrian, Drone).