FSO Transceiver Link Predictor and Scheduler for Atmospheric Scintillation

The patent implements dynamic transmission scheduling by dividing the future time window into multiple blocks and assigning different transmission strategies to each block based on predicted atmospheric conditions. The scheduler dynamically adjusts transmission parameters including retransmission attempts, packet prioritization, and modulation schemes according to real-time seeing condition predictions, transforming the fixed schedule into an adaptive system that responds to atmospheric variations.

The patent applies preliminary action through the link predictor that forecasts atmospheric conditions and transmission quality in advance. By predicting seeing conditions for future time blocks before actual transmission occurs, the system can pre-configure transmission parameters, allocate resources, and prepare packet schedules optimally for anticipated conditions, avoiding reactive adjustments and reducing overall system complexity.

The patent implements feedback mechanisms where the scheduler continuously monitors actual transmission quality metrics including packet delivery ratios, error rates, and seeing condition measurements. This feedback is fed back into the link predictor to refine future predictions and into the scheduler to adjust transmission strategies in real-time, creating a closed-loop system that adapts to actual conditions rather than relying solely on predictions.

The patent converts the harmful effect of atmospheric scintillation and beam blockages into beneficial opportunities for optimization. By detecting and predicting these adverse conditions, the system uses them to trigger alternative transmission strategies such as packet prioritization, selective retransmission of critical data, and adjustment of modulation schemes, transforming the harmful atmospheric variations into cues for improved transmission decision-making.

The patent segments the transmission schedule into discrete time blocks, each with its own set of transmission parameters and packet assignments. This segmentation allows the complex scheduling problem to be divided into manageable units that can be processed and optimized independently, reducing the computational burden on the scheduler while maintaining overall QoS performance through coordinated management of individual blocks.

The patent employs parameter changes by adjusting key transmission parameters such as transmission power, modulation index, packet size, and retransmission thresholds based on predicted seeing conditions. By varying these parameters adaptively across different time blocks and atmospheric conditions, the system optimizes QoS performance without requiring complex control mechanisms, using straightforward parameter adjustment rather than complex algorithmic processing.