LDPC Encoder Using Known Bits to Cut G-Matrix Hardware

The patent extracts and utilizes only the necessary portions of the G-matrix for encoding operations. By identifying that certain parts of the G-matrix are redundant or can be derived from known information, the implementation uses a reduced subset of matrix elements, thereby decreasing hardware complexity while preserving the essential error correction capability required by the Ethernet standard.

The patent performs preliminary processing to identify known information in the LDPC frame structure before encoding. By pre-identifying which data parts are known (such as parity bits or fixed-pattern sections), the encoder can skip redundant matrix multiplications for those portions, reducing hardware complexity while maintaining encoding accuracy for the unknown data parts.

The patent segments the encoding process into independent stages that can be executed sequentially. By dividing the data frame into segments (known information parts and unknown information parts) and processing them in a structured sequence, the design achieves real-time encoding speed without requiring full parallel hardware for all operations simultaneously, thus reducing chip area by 50% or more compared to traditional parallel implementations.

The patent implements a dynamic encoding approach where the hardware resources are allocated adaptively based on the actual data being encoded. By dynamically activating only the necessary matrix multiplication units for the unknown data parts and skipping operations on known information, the system maintains high encoding speed while significantly reducing the active chip area occupancy.