ISACHub Centralized 6G ISAC Supercomputing & Radar Processing

ISACHub formalizes centralized Cloud-RAN baseband pooling, GPU-accelerated radar supercomputing, real-time 3D dynamic city mapping, and multi-tower track fusion.

ISACHub Centralized Supercomputing & Radar Processing Stack

ISAC Core: Hub Core — Cloud-RAN GPU Pool & Multi-Tower Fusion

6G ISAC Nodes & Beamforming Subsystems

Heterogeneous GPU/FPGA C-RAN
Real-Time 3D City Twin Engine
Multi-Static Kalman Track Fuser
Ambiguity Function Tensor Accelerator
High-Throughput NVLink Fabric

Architectural Layers & Waveform Pipelines

Layer 1: Dual-Functional Waveform & Baseband (OTFS / OFDM-Radar / Fractional Fourier Transform / Ambiguity Function): Orthogonal Time Frequency Space (OTFS) modulation and fractional chirp synthesis achieving zero inter-carrier interference under severe Doppler spreads.
Layer 2: Massive MIMO & Beamforming Frontends (140 GHz D-Band / True-Time-Delay (TTD) / Hybrid Analog-Digital Beamforming): Sub-THz active phased array architectures with true-time-delay beam-squint mitigation, simultaneous communication data beams and pencil radar tracking lobes.
Layer 3: Radar Signal Processing & 4D Point Cloud (2D-FFT Range-Doppler / MUSIC AoA / CFAR Detection / Micro-Doppler Extraction): Sub-decimeter range and velocity resolution, constant false-alarm rate (CFAR) detection, and micro-Doppler biomechanical gait and drone propeller classification.
Layer 4: Network Sensing Orchestration & 3GPP Rel-19 (3GPP Rel-19 ISAC Core / Sensing Function (SF) / Reconfigurable Intelligent Surfaces (RIS)): Cell-free collaborative radar networks, dynamic time-frequency resource allocation balancing communication SLA against radar revisit time.

Sensing Telemetry & Benchmarks: <5 cm (Range Resolution) | 0.1 m/s (Velocity Precision) | <10 ms (Radar Frame Latency) | 3GPP Rel-19 (Global Standard)

Cloud-RAN Baseband Pooling & 3D City Maps in ISACHub

Processing raw radar streams from thousands of urban base station antenna elements requires massive supercomputing clusters. ISACHub establishes the centralized Cloud-RAN architecture where GPU server farms ingest raw radar feeds to maintain living 3D digital twins of entire metropolitan regions.

Core Engineering Areas

Cloud-RAN Baseband Pooling and GPU Acceleration — Pooling baseband processing from hundreds of remote radio heads onto centralized GPU data centers connected via low-latency optical fiber.
City-Scale Dynamic Environmental 3D Mapping — Maintaining a continuously updated 3D digital replica of urban infrastructure by synthesizing multi-tower radar reflections.
Multi-Cell Distributed Kalman Track Fusion — Centralized multi-static tracking engines combining raw radar detections from up to ten surrounding base stations to eliminate tracking dropouts.