1,218 research outputs found
Low-Complexity Puncturing and Shortening of Polar Codes
In this work, we address the low-complexity construction of shortened and
punctured polar codes from a unified view. While several independent puncturing
and shortening designs were attempted in the literature, our goal is a unique,
low-complexity construction encompassing both techniques in order to achieve
any code length and rate. We observe that our solution significantly reduces
the construction complexity as compared to state-of-the-art solutions while
providing a block error rate performance comparable to constructions that are
highly optimized for specific lengths and rates. This makes the constructed
polar codes highly suitable for practical application in future communication
systems requiring a large set of polar codes with different lengths and rates.Comment: to appear in WCNC 2017 - "Polar Coding in Wireless Communications:
Theory and Implementation" Worksho
Analysis and Design of Partially Information- and Partially Parity-Coupled Turbo Codes
In this paper, we study a class of spatially coupled turbo codes, namely
partially information- and partially parity-coupled turbo codes. This class of
codes enjoy several advantages such as flexible code rate adjustment by varying
the coupling ratio and the encoding and decoding architectures of the
underlying component codes can remain unchanged. For this work, we first
provide the construction methods for partially coupled turbo codes with
coupling memory and study the corresponding graph models. We then derive
the density evolution equations for the corresponding ensembles on the binary
erasure channel to precisely compute their iterative decoding thresholds.
Rate-compatible designs and their decoding thresholds are also provided, where
the coupling and puncturing ratios are jointly optimized to achieve the largest
decoding threshold for a given target code rate. Our results show that for a
wide range of code rates, the proposed codes attain close-to-capacity
performance and the decoding performance improves with increasing the coupling
memory. In particular, the proposed partially parity-coupled turbo codes have
thresholds within 0.0002 of the BEC capacity for rates ranging from to
, yielding an attractive way for constructing rate-compatible
capacity-approaching channel codes.Comment: 15 pages, 13 figures. Accepted for publication in IEEE Transactions
on Communication
Blind Reconciliation
Information reconciliation is a crucial procedure in the classical
post-processing of quantum key distribution (QKD). Poor reconciliation
efficiency, revealing more information than strictly needed, may compromise the
maximum attainable distance, while poor performance of the algorithm limits the
practical throughput in a QKD device. Historically, reconciliation has been
mainly done using close to minimal information disclosure but heavily
interactive procedures, like Cascade, or using less efficient but also less
interactive -just one message is exchanged- procedures, like the ones based in
low-density parity-check (LDPC) codes. The price to pay in the LDPC case is
that good efficiency is only attained for very long codes and in a very narrow
range centered around the quantum bit error rate (QBER) that the code was
designed to reconcile, thus forcing to have several codes if a broad range of
QBER needs to be catered for. Real world implementations of these methods are
thus very demanding, either on computational or communication resources or
both, to the extent that the last generation of GHz clocked QKD systems are
finding a bottleneck in the classical part. In order to produce compact, high
performance and reliable QKD systems it would be highly desirable to remove
these problems. Here we analyse the use of short-length LDPC codes in the
information reconciliation context using a low interactivity, blind, protocol
that avoids an a priori error rate estimation. We demonstrate that 2x10^3 bits
length LDPC codes are suitable for blind reconciliation. Such codes are of high
interest in practice, since they can be used for hardware implementations with
very high throughput.Comment: 22 pages, 8 figure
Deriving Good LDPC Convolutional Codes from LDPC Block Codes
Low-density parity-check (LDPC) convolutional codes are capable of achieving
excellent performance with low encoding and decoding complexity. In this paper
we discuss several graph-cover-based methods for deriving families of
time-invariant and time-varying LDPC convolutional codes from LDPC block codes
and show how earlier proposed LDPC convolutional code constructions can be
presented within this framework. Some of the constructed convolutional codes
significantly outperform the underlying LDPC block codes. We investigate some
possible reasons for this "convolutional gain," and we also discuss the ---
mostly moderate --- decoder cost increase that is incurred by going from LDPC
block to LDPC convolutional codes.Comment: Submitted to IEEE Transactions on Information Theory, April 2010;
revised August 2010, revised November 2010 (essentially final version).
(Besides many small changes, the first and second revised versions contain
corrected entries in Tables I and II.
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