Satellite Driving Scenario

800m complex driving trajectory, simulating vehicle passing through city, intersection, and forest environments.

Real-World Applications

Satellite + Vehicle Antenna: In LEO satellite (like Starlink) communications, vehicle terminals continuously change elevation and azimuth while driving. Ground 5G macro station to high-speed rail terminal communications face similar mobility issues. This experiment simulates dynamic channel changes as mobile/vehicle terminals move along trajectories, crucial for designing adaptive beam tracking algorithms.

Experiment Steps

Environment Switching: Observe automatic scene switching from city to forest
Traffic Light Stop: Channel remains stable when stopping at red light

Simulation Experiment

Satellite Driving Scenario

Env:Urban NLOS

State:NLOS (Blocked)

K-Factor:-5.0 dB

Rx Power:-95.0 dBm

Distance:0 m

Speed:30 km/h

Urban LOS

Strong direct path, high K-factor (>10dB), stable power. Suitable for high-speed transmission.

Urban/Rural NLOS

Direct path blocked by buildings or vegetation, low K-factor (<0dB), severe multipath, low and fluctuating power.

Simulation Basis: 3GPP TR 38.811 / ITU-R P.681

Core Mechanism: Scene-based Large Scale Parameter (LSP) evolution. Different terrain types (Urban/Forest/Open) correspond to different channel statistics.
Parameter Mapping:
- • Urban: Dense Urban model. Building blockage leads to low LOS probability, K-factor near 0dB or negative (Rayleigh-like fading).
- • Forest: LMS (Land Mobile Satellite) foliage attenuation model. Signal power drops significantly (>10dB) due to vegetation, with fast fading.
- • Open: Rural LOS model. Unobstructed, high K-factor (>10dB), mainly free-space path loss.
Note: This web demo is simplified. Actual GSCM simulations use Log-Normal distributions with spatial correlation.

Parameters(Real-time)

Show Environment1

Vehicle Speed30 km/h

← π/4-DQPSK

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