875 research outputs found
Analysis and Design of Finite Alphabet Iterative Decoders Robust to Faulty Hardware
This paper addresses the problem of designing LDPC decoders robust to
transient errors introduced by a faulty hardware. We assume that the faulty
hardware introduces errors during the message passing updates and we propose a
general framework for the definition of the message update faulty functions.
Within this framework, we define symmetry conditions for the faulty functions,
and derive two simple error models used in the analysis. With this analysis, we
propose a new interpretation of the functional Density Evolution threshold
previously introduced, and show its limitations in case of highly unreliable
hardware. However, we show that under restricted decoder noise conditions, the
functional threshold can be used to predict the convergence behavior of FAIDs
under faulty hardware. In particular, we reveal the existence of robust and
non-robust FAIDs and propose a framework for the design of robust decoders. We
finally illustrate robust and non-robust decoders behaviors of finite length
codes using Monte Carlo simulations.Comment: 30 pages, submitted to IEEE Transactions on Communication
Density Evolution and Functional Threshold for the Noisy Min-Sum Decoder
This paper investigates the behavior of the Min-Sum decoder running on noisy
devices. The aim is to evaluate the robustness of the decoder in the presence
of computation noise, e.g. due to faulty logic in the processing units, which
represents a new source of errors that may occur during the decoding process.
To this end, we first introduce probabilistic models for the arithmetic and
logic units of the the finite-precision Min-Sum decoder, and then carry out the
density evolution analysis of the noisy Min-Sum decoder. We show that in some
particular cases, the noise introduced by the device can help the Min-Sum
decoder to escape from fixed points attractors, and may actually result in an
increased correction capacity with respect to the noiseless decoder. We also
reveal the existence of a specific threshold phenomenon, referred to as
functional threshold. The behavior of the noisy decoder is demonstrated in the
asymptotic limit of the code-length -- by using "noisy" density evolution
equations -- and it is also verified in the finite-length case by Monte-Carlo
simulation.Comment: 46 pages (draft version); extended version of the paper with same
title, submitted to IEEE Transactions on Communication
Trapping Sets of Quantum LDPC Codes
Iterative decoders for finite length quantum low-density parity-check (QLDPC)
codes are attractive because their hardware complexity scales only linearly
with the number of physical qubits. However, they are impacted by short cycles,
detrimental graphical configurations known as trapping sets (TSs) present in a
code graph as well as symmetric degeneracy of errors. These factors
significantly degrade the decoder decoding probability performance and cause
so-called error floor. In this paper, we establish a systematic methodology by
which one can identify and classify quantum trapping sets (QTSs) according to
their topological structure and decoder used. The conventional definition of a
TS from classical error correction is generalized to address the syndrome
decoding scenario for QLDPC codes. We show that the knowledge of QTSs can be
used to design better QLDPC codes and decoders. Frame error rate improvements
of two orders of magnitude in the error floor regime are demonstrated for some
practical finite-length QLDPC codes without requiring any post-processing.Comment: Revised version - 19 pages, 12 figures - Accepted for publication in
Quantu
Modeling and Energy Optimization of LDPC Decoder Circuits with Timing Violations
This paper proposes a "quasi-synchronous" design approach for signal
processing circuits, in which timing violations are permitted, but without the
need for a hardware compensation mechanism. The case of a low-density
parity-check (LDPC) decoder is studied, and a method for accurately modeling
the effect of timing violations at a high level of abstraction is presented.
The error-correction performance of code ensembles is then evaluated using
density evolution while taking into account the effect of timing faults.
Following this, several quasi-synchronous LDPC decoder circuits based on the
offset min-sum algorithm are optimized, providing a 23%-40% reduction in energy
consumption or energy-delay product, while achieving the same performance and
occupying the same area as conventional synchronous circuits.Comment: To appear in IEEE Transactions on Communication
Binary Message Passing Decoding of Product-like Codes
We propose a novel binary message passing decoding algorithm for product-like
codes based on bounded distance decoding (BDD) of the component codes. The
algorithm, dubbed iterative BDD with scaled reliability (iBDD-SR), exploits the
channel reliabilities and is therefore soft in nature. However, the messages
exchanged by the component decoders are binary (hard) messages, which
significantly reduces the decoder data flow. The exchanged binary messages are
obtained by combining the channel reliability with the BDD decoder output
reliabilities, properly conveyed by a scaling factor applied to the BDD
decisions. We perform a density evolution analysis for generalized low-density
parity-check (GLDPC) code ensembles and spatially coupled GLDPC code ensembles,
from which the scaling factors of the iBDD-SR for product and staircase codes,
respectively, can be obtained. For the white additive Gaussian noise channel,
we show performance gains up to dB and dB for product and
staircase codes compared to conventional iterative BDD (iBDD) with the same
decoder data flow. Furthermore, we show that iBDD-SR approaches the performance
of ideal iBDD that prevents miscorrections.Comment: Accepted for publication in the IEEE Transactions on Communication
- …