96 research outputs found
On the Minimum Distance of Array-Based Spatially-Coupled Low-Density Parity-Check Codes
An array low-density parity-check (LDPC) code is a quasi-cyclic LDPC code
specified by two integers and , where is an odd prime and . The exact minimum distance, for small and , has been calculated, and
tight upper bounds on it for have been derived. In this work, we
study the minimum distance of the spatially-coupled version of these codes. In
particular, several tight upper bounds on the optimal minimum distance for
coupling length at least two and , that are independent of and
that are valid for all values of where depends on , are
presented. Furthermore, we show by exhaustive search that by carefully
selecting the edge spreading or unwrapping procedure, the minimum distance
(when is not very large) can be significantly increased, especially for
.Comment: 5 pages. To be presented at the 2015 IEEE International Symposium on
Information Theory, June 14-19, 2015, Hong Kon
Further Results on Quadratic Permutation Polynomial-Based Interleavers for Turbo Codes
An interleaver is a critical component for the channel coding performance of
turbo codes. Algebraic constructions are of particular interest because they
admit analytical designs and simple, practical hardware implementation. Also,
the recently proposed quadratic permutation polynomial (QPP) based interleavers
by Sun and Takeshita (IEEE Trans. Inf. Theory, Jan. 2005) provide excellent
performance for short-to-medium block lengths, and have been selected for the
3GPP LTE standard. In this work, we derive some upper bounds on the best
achievable minimum distance dmin of QPP-based conventional binary turbo codes
(with tailbiting termination, or dual termination when the interleaver length N
is sufficiently large) that are tight for larger block sizes. In particular, we
show that the minimum distance is at most 2(2^{\nu +1}+9), independent of the
interleaver length, when the QPP has a QPP inverse, where {\nu} is the degree
of the primitive feedback and monic feedforward polynomials. However, allowing
the QPP to have a larger degree inverse may give strictly larger minimum
distances (and lower multiplicities). In particular, we provide several QPPs
with an inverse degree of at least three for some of the 3GPP LTE interleaver
lengths giving a dmin with the 3GPP LTE constituent encoders which is strictly
larger than 50. For instance, we have found a QPP for N=6016 which gives an
estimated dmin of 57. Furthermore, we provide the exact minimum distance and
the corresponding multiplicity for all 3GPP LTE turbo codes (with dual
termination) which shows that the best minimum distance is 51. Finally, we
compute the best achievable minimum distance with QPP interleavers for all 3GPP
LTE interleaver lengths N <= 4096, and compare the minimum distance with the
one we get when using the 3GPP LTE polynomials.Comment: Submitted to IEEE Trans. Inf. Theor
Lengthening and Extending Binary Private Information Retrieval Codes
It was recently shown by Fazeli et al. that the storage overhead of a
traditional -server private information retrieval (PIR) protocol can be
significantly reduced using the concept of a -server PIR code. In this work,
we show that a family of -server PIR codes (with increasing dimensions and
blocklengths) can be constructed from an existing -server PIR code through
lengthening by a single information symbol and code extension by at most
code symbols. Furthermore, by extending a code
construction notion from Steiner systems by Fazeli et al., we obtain a specific
family of -server PIR codes. Based on a code construction technique that
lengthens and extends a -server PIR code simultaneously, a basic algorithm
to find good (i.e., small blocklength) -server PIR codes is proposed. For
the special case of , we find provably optimal PIR codes for code
dimensions , while for all we find codes of smaller
blocklength than the best known codes from the literature. Furthermore, in the
case of , we also find better codes for . Numerical
results show that most of the best found -server PIR codes can be
constructed from the proposed family of codes connected to Steiner systems.Comment: The shorter version of this paper will appear in the proceedings of
2018 International Zurich Seminar on Information and Communicatio
Analysis of Spatially-Coupled Counter Braids
A counter braid (CB) is a novel counter architecture introduced by Lu et al.
in 2007 for per-flow measurements on high-speed links. CBs achieve an
asymptotic compression rate (under optimal decoding) that matches the entropy
lower bound of the flow size distribution. Spatially-coupled CBs (SC-CBs) have
recently been proposed. In this work, we further analyze single-layer CBs and
SC-CBs using an equivalent bipartite graph representation of CBs. On this
equivalent representation, we show that the potential and area thresholds are
equal. We also show that the area under the extended belief propagation (BP)
extrinsic information transfer curve (defined for the equivalent graph),
computed for the expected residual CB graph when a peeling decoder equivalent
to the BP decoder stops, is equal to zero precisely at the area threshold.
This, combined with simulations and an asymptotic analysis of the Maxwell
decoder, leads to the conjecture that the area threshold is in fact equal to
the Maxwell decoding threshold and hence a lower bound on the maximum a
posteriori (MAP) decoding threshold. Finally, we present some numerical results
and give some insight into the apparent gap of the BP decoding threshold of
SC-CBs to the conjectured lower bound on the MAP decoding threshold.Comment: To appear in the IEEE Information Theory Workshop, Jeju Island,
Korea, October 201
On the Minimum/Stopping Distance of Array Low-Density Parity-Check Codes
In this work, we study the minimum/stopping distance of array low-density
parity-check (LDPC) codes. An array LDPC code is a quasi-cyclic LDPC code
specified by two integers q and m, where q is an odd prime and m <= q. In the
literature, the minimum/stopping distance of these codes (denoted by d(q,m) and
h(q,m), respectively) has been thoroughly studied for m <= 5. Both exact
results, for small values of q and m, and general (i.e., independent of q)
bounds have been established. For m=6, the best known minimum distance upper
bound, derived by Mittelholzer (IEEE Int. Symp. Inf. Theory, Jun./Jul. 2002),
is d(q,6) <= 32. In this work, we derive an improved upper bound of d(q,6) <=
20 and a new upper bound d(q,7) <= 24 by using the concept of a template
support matrix of a codeword/stopping set. The bounds are tight with high
probability in the sense that we have not been able to find codewords of
strictly lower weight for several values of q using a minimum distance
probabilistic algorithm. Finally, we provide new specific minimum/stopping
distance results for m <= 7 and low-to-moderate values of q <= 79.Comment: To appear in IEEE Trans. Inf. Theory. The material in this paper was
presented in part at the 2014 IEEE International Symposium on Information
Theory, Honolulu, HI, June/July 201
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