Abstract
A new type of spatially coupled low-density parity-check (SC-LDPC) codes motivated by practical storage applications is presented. SC-LDPCL codes (suffix 'L' stands for locality) can be decoded locally at the level of sub-blocks that are much smaller than the full code block, thus offering flexible access to the coded information alongside the strong reliability of the global full-block decoding. Toward that, we propose constructions of SC-LDPCL codes that allow controlling the trade-off between local and global correction performance. In addition to local and global decoding, the paper develops a density-evolution analysis for a decoding mode we call semi-global decoding, in which the decoder has access to the requested sub-block plus a prescribed number of sub-blocks around it. SC-LDPCL codes are also studied under a channel model with variability across sub-blocks, for which decoding-performance lower bounds are derived.
Original language | English |
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Article number | 9354799 |
Pages (from-to) | 2739-2757 |
Number of pages | 19 |
Journal | IEEE Transactions on Information Theory |
Volume | 67 |
Issue number | 5 |
DOIs | |
State | Published - May 2021 |
Keywords
- Codes with locality
- coding for memories
- density evolution (DE)
- iterative decoding
- multi-sub-block coding
- spatially coupled low-density parity-check (SC-LDPC) codes
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Science Applications
- Library and Information Sciences