LDPC Decoding with Serial Message Passing for Faster Convergence

The patent segments the check nodes into multiple groups and processes them in a serial schedule where one group is updated at a time rather than all simultaneously. This segmentation allows the decoder to make progress toward convergence with fewer iterations while maintaining manageable hardware complexity.

The patent implements periodic action by cycling through different groups of check nodes in successive iterations. Each group is fully processed before moving to the next group, creating a periodic update pattern that achieves convergence faster than traditional flooding while avoiding the need for all nodes to update simultaneously.

The patent segments the check nodes into multiple groups that can be processed sequentially. This segmentation allows the use of smaller memory structures since not all check node messages need to be stored simultaneously, reducing the overall memory size requirement while still achieving effective decoding.

The patent applies partial action by updating only a subset of check nodes in each iteration rather than all check nodes. This partial updating approach reduces the memory burden at any given time while still making progress toward convergence, effectively trading some parallelism for reduced memory requirements.

The patent extracts the convergence checking function from a complex centralized mechanism and distributes it across the check node groups. Each group can independently track its own convergence status, simplifying the overall convergence checking mechanism while maintaining reliable detection of decoding convergence.

The patent implements self-service by enabling each check node group to autonomously determine when it has converged based on local information. This self-service approach eliminates the need for complex centralized convergence checking while ensuring reliable detection of decoding completion.