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

Livello 1: Forma d onda a doppia funzione e banda base (OTFS / OFDM-Radar / Fractional Fourier Transform / Ambiguity Function): Modulazione OTFS e sintesi frazionaria di chirp ottenendo interferenza inter-portante zero sotto forti dispersioni Doppler.
Livello 2: Massive MIMO e frontend di beamforming (140 GHz D-Band / True-Time-Delay (TTD) / Hybrid Analog-Digital Beamforming): Matrici a controllo di fase attive Sub-THz con mitigazione del beam-squint, fasci di dati di comunicazione e lobi radar simultanei.
Livello 3: Elaborazione del segnale radar e nuvola di punti 4D (2D-FFT Range-Doppler / MUSIC AoA / CFAR Detection / Micro-Doppler Extraction): Risoluzione sub-decimetrica di portata e velocità, rilevamento CFAR e classificazione micro-Doppler di andatura e pale di droni.
Livello 4: Orchestrazione del rilevamento di rete e 3GPP Rel-19 (3GPP Rel-19 ISAC Core / Sensing Function (SF) / Reconfigurable Intelligent Surfaces (RIS)): Reti radar collaborative cell-free, allocazione dinamica delle risorse tempo-frequenza tra SLA di comunicazione e tempo di scansione radar.

Sensing Telemetry & Benchmarks: <5 cm (Risoluzione di portata) | 0.1 m/s (Precisione di velocità) | <10 ms (Latenza frame radar) | 3GPP Rel-19 (Standard globale)

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).