IoT Satellite Frame Adaptation for LEO Link Reliability

The patent applies dynamics by making the frame structure adaptive rather than fixed. The number of preamble symbols is dynamically adjusted based on measured channel conditions (SNR, path loss). When channel conditions are poor, the system increases the number of preamble symbols to improve detection reliability. When conditions are good, it reduces the number to save resources. This dynamic adaptation resolves the contradiction between reliability and complexity.

The patent changes physical parameters of the frame structure based on channel conditions. Specifically, it varies the number of symbols in the preamble portion of the frame according to measured signal-to-noise ratio and path loss. This parameter adaptation allows the system to optimize communication reliability under different atmospheric and propagation conditions without requiring a completely complex system redesign.

The system dynamically adjusts the number of preamble symbols based on real-time channel conditions rather than using a fixed value. When packet detection probability is low (poor channel conditions), it increases the number of preamble symbols to improve reliability. When detection probability is already high (good channel conditions), it reduces the number to minimize transmission time. This dynamic approach resolves the time-reliability tradeoff.

The patent changes the parameter of preamble symbol count based on measured channel quality indicators. By monitoring signal-to-noise ratio and detection success rates, the system adapts the preamble length parameter to achieve optimal balance between detection reliability and transmission efficiency under varying operational conditions.

The system implements self-service by autonomously measuring channel conditions and automatically adjusting its own frame structure parameters. The IoT terminal or satellite measures signal-to-noise ratio and packet detection probability, then self-adjusts the number of preamble symbols without requiring external control or complex centralized management. This self-service capability achieves adaptivity while limiting complexity growth.

The system uses feedback mechanisms where channel quality measurements (SNR, detection probability) are continuously monitored and fed back to adjust the preamble symbol count. This closed-loop feedback control enables the system to adapt to changing conditions while using relatively simple control logic, resolving the contradiction between achieving reliable adaptive communication and maintaining manageable device complexity.