Adaptive Modulation Coding and Reference Signal Pattern Adjustment

The patent implements dynamic adaptation by enabling the system to switch between different reference signal patterns and modulation coding schemes based on real-time channel conditions. The terminal device selects appropriate reference signal patterns (first pattern for high mobility, second pattern for low mobility) and adjusts MCS indices according to measured channel status, transforming the static system into a dynamic one that optimizes transmission efficiency while managing complexity through conditional logic.

The patent changes key system parameters including reference signal pattern selection, modulation order, coding rate, and MCS index based on channel conditions such as mobility status and SINR measurements. By dynamically adjusting these parameters rather than maintaining fixed values, the system achieves improved transmission efficiency across varying channel conditions while keeping the adjustment rules standardized to control complexity.

The patent segments the adaptation process into distinct, manageable components: channel status measurement, mobility determination, reference signal pattern selection, and MCS index adjustment. Each component handles a specific aspect of the adaptation, making the overall complex system easier to implement and maintain through modular functional blocks rather than a monolithic complex algorithm.

The patent implements feedback mechanisms where the terminal device measures channel status (SINR, mobility), selects appropriate reference signal patterns and MCS indices, and reports selected parameters back to the network. This feedback loop enables adaptive optimization while distributing complexity between terminal and network, with each entity performing specific standardized functions rather than requiring full system-wide complex processing.

The patent dynamically adjusts the modulation coding scheme by selecting different MCS indices based on real-time channel conditions including SINR measurements and mobility status. In poor channel conditions or high mobility scenarios, the system automatically selects more robust modulation and coding parameters, while in good conditions it transitions to higher order modulation for increased rate, thus dynamically balancing rate and reliability.

The patent changes modulation order and coding rate parameters based on channel quality indicators. By adjusting these parameters according to measured SINR and mobility conditions, the system achieves higher transmission rates in favorable conditions while maintaining reliability through more conservative parameter selection in poor conditions, optimizing the trade-off between rate and error performance.

The patent applies different reference signal patterns locally based on terminal mobility status and channel conditions. High mobility terminals receive reference signal patterns optimized for their specific channel characteristics, while low mobility terminals receive patterns optimized for their conditions. This local optimization achieves good channel estimation accuracy for each terminal type without requiring all terminals to use high-density reference signals, thus reducing overall resource overhead while maintaining reliability.

The patent changes reference signal pattern parameters (density, sequence, power) based on channel conditions and mobility status. By selecting appropriate reference signal patterns from multiple configured options rather than using a fixed high-density pattern for all terminals, the system achieves sufficient channel estimation accuracy for each scenario while optimizing resource overhead through conditional parameter selection.