English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Recently, a parallel decoding framework of $G_N$-coset codes was proposed.High throughput is achieved by decoding the independent component polar codesin parallel. Various algorithms can be employed to decode these componentcodes, enabling a flexible throughput-performance tradeoff. In this work, weadopt SC as the component decoders to achieve the highest-throughput end of thetradeoff. The benefits over soft-output component decoders are reducedcomplexity and simpler (binary) interconnections among component decoders. Toreduce performance degradation, we integrate an error detector and alog-likelihood ratio (LLR) generator into each component decoder. The LLRgenerator, specifically the damping factors therein, is designed by a geneticalgorithm. This low-complexity design can achieve an area efficiency of$533Gbps/mm^2$ under 7nm technology.

Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of $G_N$-Coset Codes