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ATIS 5G KPI Database
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  • Home
  • Application Groups
    • Agriculture 4.0
    • Entertainment
    • Environmental Monitoring
    • Industrial Automation
    • Intelligent Transportation System
    • Nature Life
    • Public Safety
    • Smart Cities
    • Smart Energy
    • Smart Health & Wellness
    • Uncrewed Aerial Vehicles (UAV)
  • Devices
    • All Devices
  • Definitions
    • KPIs
    • Slice Types
    • References
  • Discussion

Applications

Wind Measurement

  • Use Case: High-altitude Wind Measurement • Used for predicting and monitoring storms, especially in tornado-prone areas • Assists the aviation industry in planning flight paths

    Device(s)

    Satellites: Geostationary and polar-orbiting weather satellites are equipped with advanced sensors to monitor wind patterns at high altitudes globally. They are particularly useful for tracking large-scale weather systems and providing data for flight path planning over remote areas like oceans. Satellite sensors that track high-altitude wind speeds can range from those capturing basic wind vector data to more complex imaging systems.

    KPIs

    E2E Latency: Best effort
    Jitter: Not Sensitive
    Data Rate: Low: < 10 Mbps
    Availability: High: 95 - 99.999%
    Criticality: Safety critical
    Communication Direction: Two-way
    Common Communication Mode: Unicast
    Data Reporting Mode: Continuous-based
    Mobility (type/speed): Fixed
    Service Continuity: Not Required
    Device Autonomy (Power Constrained): Yes
    Connectivity Type: WAN - Cellular, LPWA, Satellite
    Priority Services (NS/EP): No (it would not)
    Guaranteed Service: Non-GBR
    Security: Medium
    Lifespan: Long: More than 8 years
    Device Density: Low (<1000)
    Location Based Services: Fixed (no LBS needed)
    Slice Type
    Slice Type: eMBB
  • Use Case: Desert Regions: • Monitoring sandstorm formations and predicting their path • Assist in implementing measures to reduce desertification

    Device(s)

    Wind Sensors (Anemometers): measure wind speed and direction, key factors in sandstorm formation. By understanding wind patterns, it becomes easier to predict the movement and intensity of sandstorms.

    KPIs

    E2E Latency: Best effort
    Jitter: Not Sensitive
    Data Rate: Very Low: <100kbps
    Availability: High: 95 - 99.999%
    Criticality: Safety critical
    Communication Direction: One-way
    Common Communication Mode: Unicast
    Data Reporting Mode: Hybrid Driven
    Mobility (type/speed): Fixed
    Service Continuity: Not Required
    Device Autonomy (Power Constrained): Yes
    Connectivity Type: WAN - Cellular, LPWA, Satellite
    Priority Services (NS/EP): No (it would not)
    Guaranteed Service: Non-GBR
    Security: Medium
    Lifespan: Long: More than 8 years
    Device Density: Low (<1000)
    Location Based Services: Fixed (no LBS needed)
    Slice Type
    Slice Type: uRLLC
ATIS 5G KPI Database
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ATIS 5G KPI Database