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USPTO Patent Application

6G-Enabled Modular Network for Dual-Mode Operations

A unified infrastructure for autonomous mobility, ecological restoration, and adaptive defense leveraging sixth-generation wireless technology

6G Performance Advantage

<1ms
End-to-End Latency
>1Tbps
Peak Data Rate
10⁷+
Devices/km²
>1000
km/h Mobility Support

Dual-Mode Operation

Default Mode

Civilian Support Mode

In its primary state, the network orchestrates beneficial civic tasks through coordinated micro-drone swarms.

  • Child Escort Service: Autonomous aerial escorts with LED-guided paths and real-time hazard alerts via V2P communication
  • Ecological Restoration: Precision dispersal of algae-infused biodegradable newspaper fragments for CO₂ sequestration
  • COMET Asset Tracking: City-wide crowdsourced location network for high-resolution asset recovery
  • Traffic Management: Real-time vehicle flow data collection and optimization
Emergency Mode

Defense Mode

Upon threat detection, the AI controller seamlessly transitions the entire network for defensive operations.

  • AI Threat Detection: LSTM anomaly detection + Bayesian inference for threat classification (P>0.8 threshold)
  • Asset Re-tasking: Automatic recall and rearmament of drones with DBBP capsules
  • Swarm Coordination: Multi-agent pathfinding for optimal defensive screen formation
  • DBBP Deployment: Low-collateral-damage countermeasures against hostile drone swarms

DBBP Countermeasure System

The Drone Buzzing Bang Patent (DBBP) provides targeted, low-collateral-damage anti-swarm capabilities suitable for urban environments, overcoming the limitations of indiscriminate prior art EMP/HPM systems.

1

Polymer Entanglement

High-tensile strength rip-stop nylon filaments are released to entangle hostile drone propellers, causing immediate aerodynamic failure. Effective radius: 20-40 meters.

2

Localized EM Interference

Conductive graphene nanoparticle aerosol creates a transient electromagnetic field via high-discharge capacitor, destroying unshielded microelectronics while protecting civilian infrastructure.

System Architecture

Mobile Nodes

Civilian vehicles (cars, buses, scooters, bicycles) retrofitted with 6G-V2X transceivers form a dynamic mesh network, acting as data consumers, producers, and relays.

Fixed Nodes (Hubs)

Repurposed newsstands with solar power, multi-unit drone bays, automated payload reloading, and high-bandwidth 6G transceivers serve as operational backbone.

Micro-Drone Swarm

Lightweight quadcopters (150±25g) with universal modular payload interface supporting LED projectors, algae dispensers, or DBBP capsules.

Hybrid AI Core

Edge computing for real-time control loops combined with cloud AI for large-scale optimization, threat model training, and mode-switching decisions.

Technical Specifications

Component Parameter Specification
Micro-Drone Mass 150±25 g
Flight Time 15-25 minutes
Maximum Speed 20 m/s
Payload Interface Universal quick-release mechanical and data port
6G Transceiver Frequency Band 61-81 GHz, Sub-THz Bands
End-to-End Latency <1 ms (target <0.1 ms)
Newsstand Hub Drone Capacity 50 units
Power Source 2kW Solar Panel + Li-ion Battery
Reloading Automated robotic arm system
DBBP Capsule Effective Radius 20-40 meters
Entanglement Material High-tensile rip-stop nylon filaments
EM Emitter Capacitor-driven graphene aerosol

Core Technologies

📡

Joint Communication & Sensing

Exploits 6G's JC&S paradigm to transform the communication network into a massive passive sensing grid. High-frequency terahertz waves detect environmental perturbations, enabling city-wide threat detection without dedicated sensors.

🧠

LSTM Anomaly Detection

Long Short-Term Memory neural networks establish baseline urban activity patterns. Deviations from learned normalcy—such as coordinated swarm movements or unusual RF signatures—trigger anomaly flags for threat assessment.

📊

Bayesian Threat Classification

Probabilistic graphical model fuses evidence from multiple sources (LSTM, JC&S, optical/acoustic sensors, intelligence data) to calculate threat probability. Defense mode activates when P(Threat|Evidence) exceeds configurable threshold.

🗺️

A* Path Optimization

Graph search algorithm computes optimal routes for child escorts, using a cost function combining distance, travel time, and dynamic safety scores. Suitable for real-time single-agent pathfinding applications.

🤖

Multi-Agent Pathfinding

Conflict-Based Search and D* algorithms coordinate collision-free paths for drone swarms in defense mode, enabling rapid formation of defensive screens and synchronized intercept maneuvers.

🌿

Carbon Sequestration

Biodegradable newspaper printed with phosphorus-infused ink (K₂HPO₄) and Chlorella vulgaris spores creates distributed carbon sinks. Expected rate: 0.4g CO₂/L/day from urban puddles and water bodies.

Closing the Verification Gap

Prior art suffers from profound technological fragmentation—V2X networks, child safety drones, ecological systems, and C-UAS platforms exist in non-communicating silos. This invention unifies these functions into a single, cost-effective, modular infrastructure that dynamically allocates assets between peaceful civilian support and emergency defense.

Unified Infrastructure Real-Time Mode Switching Retrofittable Design AI-Driven Decisions Low Collateral Damage Self-Healing Network

Related Patents

🚀

Drone Buzzing Bang Patent (DBBP)

Anti-swarm countermeasure technology for neutralizing hostile drone threats with minimal collateral damage.

📍

COMET System

Crowdsourced asset tracking network utilizing low-power tags and distributed V2X nodes for high-resolution location reporting.

🌱

Algae Dispersal System

Ecological restoration technology for large-scale carbon sequestration using biodegradable delivery mechanisms.