GHOST-LINK 5G
Integrated Sensing & Communication Framework
Transforming existing 5G infrastructure into a Radio-Vision system —
detecting humans and movement without cameras, microphones, or wearables.
Core Objective
To transform standard 5G infrastructure into a high-precision, device-free sensing grid (ISAC) that detects human presence and behavioral anomalies without cameras or wearables.
Ghost-Link prioritizes privacy and low-cost deployment by repurposing the existing telecommunications backbone — no new sensors, no new cabling, no privacy intrusion.
Transmitter
Detected
Receiver
Proposal Summary
Signal Physics
Leverages physical properties of 5G mmWave/Sub-6GHz signals as passive sensors — no active scanning required.
AI Engine
LSTM-based "Network Memory" analyzes SNR jitter and latency variance to classify human presence vs. environmental noise.
Ghost Maps
Real-time 3D voxel probability grids render human positions as ghostly silhouettes on a live dashboard.
Privacy Bridge
Bridges telecommunications and spatial intelligence — a privacy-first alternative to CCTV with 92% detection accuracy.
The Physics of Radio-Vision
Signal Scattering
Humans (70% saline water) absorb and reflect 5G RF waves, creating unique distortion signatures.
Fresnel Zone Disruption
Movement through the line-of-sight between gNodeB and UE distorts the signal field in measurable ways.
L3 Proxy Extraction
Since physical-layer data is locked, Ghost-Link reads Layer 3 proxies via Scapy DPI.
The AI Brain — LSTM Network Memory
An LSTM Recurrent Neural Network processes time-series signal streams to build a living memory of the environment.
Discards static noise — furniture, walls, fixed objects.
Updates memory with new dynamic patterns from signal changes.
Classifies event: Empty Room · Human Walking · Human Fall.
Signal Stream
Memory
System Architecture Stack
- gNodeB emits mmWave/Sub-6GHz
- Human movement creates RF shadows
- Scapy inspects GTP-U for L3 proxies
- LSTM baselines vs. Empty Room memory
- Voxel grid lights up detected positions
Societal & Industrial Impact
Fall detection in nursing homes and private residences — zero cameras, zero privacy intrusion.
Real-time occupancy analytics for intelligent lighting and HVAC optimization.
Passive monitoring for vulnerable populations without wearables or consent friction.
Perimeter monitoring in chemical plants, data centers, and restricted areas — no extra cabling.
Detects unauthorized entry or worker distress in dangerous environments in real time.
Targets the $25B+ smart building and elder-care monitoring markets.
5G Technology & Metrics
High-frequency signals for fine-grained spatial resolution and precise movement detection.
Localized data processing at the network edge for real-time, sub-10ms response.
Dedicated "Sensing Slice" ensures zero impact on standard communication traffic.