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

  • 第一层：通感一体化双功能波形与数字基带 (OTFS / OFDM-Radar / Fractional Fourier Transform / Ambiguity Function): 基于正交时频空（OTFS）调制与分数阶傅里叶变换的波形生成，在高速多普勒频移环境下实现零子载波间干扰（ICI）。
  • 第二层：大规模 MIMO 有源相控阵与混合波束赋形 (140 GHz D-Band / True-Time-Delay (TTD) / Hybrid Analog-Digital Beamforming): 太赫兹 D 频段有源相控阵体系，结合真实时间延迟（TTD）消除波束色散，支持超窄高增益雷达跟踪波束与宽角通信波束并行覆盖。
  • 第三层：回波数字信号处理、2D-FFT 谱估计与 4D 点云成像 (2D-FFT Range-Doppler / MUSIC AoA / CFAR Detection / Micro-Doppler Extraction): 亚分米级测距与测速分辨率、恒虚警率（CFAR）目标检测、基于微多普勒特征的步态生物识别与无人机旋翼特征实时分类。
  • 第四层：蜂窝网络通感资源编排与 3GPP Rel-19 核心网 (3GPP Rel-19 ISAC Core / Sensing Function (SF) / Reconfigurable Intelligent Surfaces (RIS)): 无蜂窝协作雷达感知网络、智能超表面（RIS）反射信道赋能，动态平衡通信吞吐量 SLA 与雷达感知刷新率需求。

Sensing Telemetry & Benchmarks: <5 cm (测距分辨率) | 0.1 m/s (测速精度) | <10 ms (雷达帧刷新时延) | 3GPP Rel-19 (全球行业标准)

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

Technical Publications