ASIC Implementation Challenges for Next Generation Access Networks

Ossieur, Peter; Coudyzer, Gertjan; Kelly, Denis; Yin, Xin; Townsend, Paul D.; Bauwelinck, Johan

doi:10.1364/sppcom.2018.spth4f.1

Cited by 2 publications

(1 citation statement)

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“…Most of these schemes assume that the decoder has access to the full soft information (e.g., the channel output after transmission over a binary-input additive white Gaussian noise (AWGN) channel model) and internally use binary or ternary message passing [9], [10] and possibly error-anderasure decoding [11], [12], [13] of the component codes. However, in many high-speed optical communication systems, in particular those optimized for low cost and short reach, the use of a high-precision analog-to-digital converter (ADC) is prohibitive as the power consumption of an ADC scales approximately in proportion to its bit resolution [14] and often simple 1-bit ADCs are used [15].…”

Section: Introductionmentioning

confidence: 99%

Error-and-Erasure Decoding of Product and Staircase Codes

Rapp

Schmalen

2022

IEEE Trans. Commun.

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High-rate product codes (PCs) and staircase codes (SCs) are ubiquitous codes in high-speed optical communication achieving near-capacity performance on the binary symmetric channel (BSC). Their success is mostly due to very efficient iterative decoding algorithm that require very little complexity. In this paper, we extend the density evolution (DE) analysis for PCs and SCs to a channel with ternary output and ternary message passing, where the third symbol marks an erasure. We investigate the performance of a standard error-and-erasure decoder and of two simplifications using DE. The proposed analysis can be used to find component code configurations and quantizer levels for the channel output. We also show how the use of even-weight BCH subcodes as component codes can improve the decoding performance at high rates. The DE results are verified by Monte-Carlo simulations, which show that additional coding gains of up to 0.6 dB are possible by ternary decoding, at only a small additional increase in complexity compared to traditional binary message passing.

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