AI Data Channel Models for Diverse Terminal Transmission Needs

The patent implements dynamic data channel generation by allowing terminals to select from multiple data channel models (first type for conventional terminals, second type for enhanced terminals) based on their specific capabilities and requirements. This dynamic adaptation enables the system to optimize transmission efficiency for each terminal type while maintaining a manageable system architecture through structured model selection mechanisms.

The patent changes key parameters of the data channel generation approach by introducing multiple data channel models with different configurations. Terminals can select models based on parameters such as terminal type, service requirements, and channel conditions. This parameter-based differentiation resolves the contradiction by enabling efficient data transmission for diverse terminals without requiring complete architectural redesign.

The patent segments the data channel generation approach by dividing terminals into different types (conventional terminals and enhanced terminals) and assigning specific data channel models to each segment. This segmentation enables optimized spectral efficiency for each terminal category while controlling overall system complexity through structured model classification and selection procedures.

The patent creates a universal data channel framework that can accommodate multiple terminal types through a common model selection mechanism. The system maintains universality by providing a standardized interface for model selection while supporting diverse data channel models, thus achieving both high spectral efficiency and controlled complexity through multi-functional design.