Q Margin Calculation Using Per-Codeblock BER Thresholds

The patent segments the error detection process by evaluating each FEC codeblock individually rather than averaging BER across multiple codeblocks. This segmentation allows the system to identify high error rates in specific codeblocks that would otherwise be masked by averaging, thereby improving measurement precision without significantly increasing overall system complexity.

The patent applies partial action by performing BER evaluation only at the necessary granularity level (per codeblock) without implementing more complex continuous monitoring or additional error analysis layers. This approach achieves the required measurement precision improvement while avoiding excessive complexity by stopping at the codeblock level rather than progressing to more granular or comprehensive analysis methods.

The patent implements preliminary action by evaluating the BER of each codeblock before determining whether it exceeds the FEC threshold, allowing the system to proactively identify problematic codeblocks. This preliminary evaluation per codeblock enables timely detection of errors that would compromise reliability, while maintaining processing speed by using simple threshold comparisons rather than more complex analysis.

The patent applies local quality by focusing error detection efforts specifically on individual codeblocks that may contain errors, rather than uniformly processing all data with complex analysis. This localized approach improves reliability by accurately identifying error-prone codeblocks while minimizing time loss by avoiding unnecessary complex processing of error-free codeblocks.