PUCCH ACK List Selection for Lower-Complexity CQI Detection

The patent segments the detection process into distinct phases: channel estimation phase, ACK detection phase, and CQI detection phase. Each phase uses specialized detection methods and metrics appropriate to its specific task, rather than using a single unified detection approach for all control information. This segmentation reduces overall complexity while maintaining accuracy for each specific detection type.

The patent implements dynamic detection strategies where the detection method and resources are adapted based on channel conditions, message types, and priority levels. For example, the system dynamically adjusts between different detection metrics (e.g., correlation-based vs. metric-based detection) and allocates detection branches dynamically based on the specific ACK/CQI message being detected, optimizing the balance between complexity and reliability in real-time.

The patent performs preliminary channel estimation and candidate identification before the actual ACK and CQI detection. By pre-processing the received signal to estimate channel conditions and identify potential candidate positions, the system narrows down the search space before performing the computationally intensive detection of all candidates, thus improving processing efficiency while maintaining comprehensive detection coverage.

The patent implements a multi-level detection approach where a first set of detection operations is performed on a subset of candidates (e.g., using correlation-based quick detection), and only the most promising candidates proceed to a second set of more thorough detection operations. This partial action approach ensures that not all candidates undergo the full computational burden, improving overall processing efficiency while maintaining detection reliability through the two-stage verification process.