Velocity-Adaptive D2D Data Transmission for Fast-Varying Channels

The patent applies dynamics by making the channel estimation approach adaptive to mobility conditions. The system dynamically selects between traditional estimation methods and the proposed velocity-compensated methods based on the measured relative velocity between devices. When high velocity is detected, the system switches to the more complex but accurate velocity-based channel estimation, thereby achieving accurate channel state estimation only when necessary, balancing accuracy with system complexity.

The patent changes the parameter of channel estimation by introducing velocity compensation factors. Instead of using static channel estimation methods, the system modifies the estimation parameters based on measured relative velocity, Doppler shift, and time-varying channel characteristics. This parameter change enables accurate tracking of rapidly varying channels in high-mobility scenarios without requiring fundamentally new estimation architectures.

The patent implements feedback by measuring the relative velocity between communicating devices and using this information to adjust transmission parameters. The system continuously monitors channel state and velocity, then feeds this information back to adapt modulation schemes, coding rates, and other transmission parameters. This closed-loop feedback mechanism ensures optimal data rates in high-mobility scenarios while keeping the adjustment logic systematic and manageable.

The patent applies preliminary action by pre-calculating and preparing multiple transmission parameter configurations based on expected velocity ranges and channel conditions. Instead of reacting to poor performance, the system proactively selects appropriate transmission parameters before data transmission based on predicted channel states and measured velocity, thereby maintaining optimal data rates without complex real-time adjustments during active transmission.

The patent applies partial action by performing channel state estimation at selective intervals rather than continuously. The system uses measured relative velocity to determine the appropriate estimation frequency - when velocity is high, estimation is performed more frequently, but when velocity is low or stable, the system reduces estimation frequency. This partial action approach maintains adequate channel state tracking accuracy while significantly reducing the overhead associated with frequent estimations.

The patent implements periodic action by establishing regular channel state estimation intervals that are adapted based on mobility conditions. Instead of continuous monitoring, the system performs estimations at periodic intervals determined by the relative velocity between devices. This periodic approach with adaptive timing maintains channel state accuracy for high-mobility scenarios while reducing overhead compared to continuous estimation, creating an efficient balance between tracking accuracy and resource consumption.