115 research outputs found
Novel Code-Construction for (3, k) Regular Low Density Parity Check Codes
Communication system links that do not have the ability to retransmit generally rely
on forward error correction (FEC) techniques that make use of error correcting codes
(ECC) to detect and correct errors caused by the noise in the channel. There are
several ECC’s in the literature that are used for the purpose. Among them, the low
density parity check (LDPC) codes have become quite popular owing to the fact that
they exhibit performance that is closest to the Shannon’s limit.
This thesis proposes a novel code-construction method for constructing not only (3, k)
regular but also irregular LDPC codes. The choice of designing (3, k) regular LDPC
codes is made because it has low decoding complexity and has a Hamming distance,
at least, 4. In this work, the proposed code-construction consists of information submatrix
(Hinf) and an almost lower triangular parity sub-matrix (Hpar). The core design
of the proposed code-construction utilizes expanded deterministic base matrices in
three stages. Deterministic base matrix of parity part starts with triple diagonal matrix
while deterministic base matrix of information part utilizes matrix having all elements
of ones. The proposed matrix H is designed to generate various code rates (R) by
maintaining the number of rows in matrix H while only changing the number of
columns in matrix Hinf.
All the codes designed and presented in this thesis are having no rank-deficiency, no
pre-processing step of encoding, no singular nature in parity part (Hpar), no girth of
4-cycles and low encoding complexity of the order of (N + g2) where g2«N. The
proposed (3, k) regular codes are shown to achieve code performance below 1.44 dB
from Shannon limit at bit error rate (BER) of 10
−6
when the code rate greater than
R = 0.875. They have comparable BER and block error rate (BLER) performance
with other techniques such as (3, k) regular quasi-cyclic (QC) and (3, k) regular
random LDPC codes when code rates are at least R = 0.7. In addition, it is also shown
that the proposed (3, 42) regular LDPC code performs as close as 0.97 dB from
Shannon limit at BER 10
−6
with encoding complexity (1.0225 N), for R = 0.928 and
N = 14364 – a result that no other published techniques can reach
Shortened Array Codes of Large Girth
One approach to designing structured low-density parity-check (LDPC) codes
with large girth is to shorten codes with small girth in such a manner that the
deleted columns of the parity-check matrix contain all the variables involved
in short cycles. This approach is especially effective if the parity-check
matrix of a code is a matrix composed of blocks of circulant permutation
matrices, as is the case for the class of codes known as array codes. We show
how to shorten array codes by deleting certain columns of their parity-check
matrices so as to increase their girth. The shortening approach is based on the
observation that for array codes, and in fact for a slightly more general class
of LDPC codes, the cycles in the corresponding Tanner graph are governed by
certain homogeneous linear equations with integer coefficients. Consequently,
we can selectively eliminate cycles from an array code by only retaining those
columns from the parity-check matrix of the original code that are indexed by
integer sequences that do not contain solutions to the equations governing
those cycles. We provide Ramsey-theoretic estimates for the maximum number of
columns that can be retained from the original parity-check matrix with the
property that the sequence of their indices avoid solutions to various types of
cycle-governing equations. This translates to estimates of the rate penalty
incurred in shortening a code to eliminate cycles. Simulation results show that
for the codes considered, shortening them to increase the girth can lead to
significant gains in signal-to-noise ratio in the case of communication over an
additive white Gaussian noise channel.Comment: 16 pages; 8 figures; to appear in IEEE Transactions on Information
Theory, Aug 200
Novel Code-Construction for (3, k) Regular Low Density Parity Check Codes
Communication system links that do not have the ability to retransmit generally rely
on forward error correction (FEC) techniques that make use of error correcting codes
(ECC) to detect and correct errors caused by the noise in the channel. There are
several ECC’s in the literature that are used for the purpose. Among them, the low
density parity check (LDPC) codes have become quite popular owing to the fact that
they exhibit performance that is closest to the Shannon’s limit.
This thesis proposes a novel code-construction method for constructing not only (3, k)
regular but also irregular LDPC codes. The choice of designing (3, k) regular LDPC
codes is made because it has low decoding complexity and has a Hamming distance,
at least, 4. In this work, the proposed code-construction consists of information submatrix
(Hinf) and an almost lower triangular parity sub-matrix (Hpar). The core design
of the proposed code-construction utilizes expanded deterministic base matrices in
three stages. Deterministic base matrix of parity part starts with triple diagonal matrix
while deterministic base matrix of information part utilizes matrix having all elements
of ones. The proposed matrix H is designed to generate various code rates (R) by
maintaining the number of rows in matrix H while only changing the number of
columns in matrix Hinf.
All the codes designed and presented in this thesis are having no rank-deficiency, no
pre-processing step of encoding, no singular nature in parity part (Hpar), no girth of
4-cycles and low encoding complexity of the order of (N + g2) where g2«N. The
proposed (3, k) regular codes are shown to achieve code performance below 1.44 dB
from Shannon limit at bit error rate (BER) of 10
−6
when the code rate greater than
R = 0.875. They have comparable BER and block error rate (BLER) performance
with other techniques such as (3, k) regular quasi-cyclic (QC) and (3, k) regular
random LDPC codes when code rates are at least R = 0.7. In addition, it is also shown
that the proposed (3, 42) regular LDPC code performs as close as 0.97 dB from
Shannon limit at BER 10
−6
with encoding complexity (1.0225 N), for R = 0.928 and
N = 14364 – a result that no other published techniques can reach
Entanglement-assisted Coding Theory
In this dissertation, I present a general method for studying quantum error
correction codes (QECCs). This method not only provides us an intuitive way of
understanding QECCs, but also leads to several extensions of standard QECCs,
including the operator quantum error correction (OQECC), the
entanglement-assisted quantum error correction (EAQECC). Furthermore, we can
combine both OQECC and EAQECC into a unified formalism, the
entanglement-assisted operator formalism. This provides great flexibility of
designing QECCs for different applications. Finally, I show that the
performance of quantum low-density parity-check codes will be largely improved
using entanglement-assisted formalism.Comment: PhD dissertation, 102 page
Near-capacity fixed-rate and rateless channel code constructions
Fixed-rate and rateless channel code constructions are designed for satisfying conflicting design tradeoffs, leading to codes that benefit from practical implementations, whilst offering a good bit error ratio (BER) and block error ratio (BLER) performance. More explicitly, two novel low-density parity-check code (LDPC) constructions are proposed; the first construction constitutes a family of quasi-cyclic protograph LDPC codes, which has a Vandermonde-like parity-check matrix (PCM). The second construction constitutes a specific class of protograph LDPC codes, which are termed as multilevel structured (MLS) LDPC codes. These codes possess a PCM construction that allows the coexistence of both pseudo-randomness as well as a structure requiring a reduced memory. More importantly, it is also demonstrated that these benefits accrue without any compromise in the attainable BER/BLER performance. We also present the novel concept of separating multiple users by means of user-specific channel codes, which is referred to as channel code division multiple access (CCDMA), and provide an example based on MLS LDPC codes. In particular, we circumvent the difficulty of having potentially high memory requirements, while ensuring that each user’s bits in the CCDMA system are equally protected. With regards to rateless channel coding, we propose a novel family of codes, which we refer to as reconfigurable rateless codes, that are capable of not only varying their code-rate but also to adaptively modify their encoding/decoding strategy according to the near-instantaneous channel conditions. We demonstrate that the proposed reconfigurable rateless codes are capable of shaping their own degree distribution according to the nearinstantaneous requirements imposed by the channel, but without any explicit channel knowledge at the transmitter. Additionally, a generalised transmit preprocessing aided closed-loop downlink multiple-input multiple-output (MIMO) system is presented, in which both the channel coding components as well as the linear transmit precoder exploit the knowledge of the channel state information (CSI). More explicitly, we embed a rateless code in a MIMO transmit preprocessing scheme, in order to attain near-capacity performance across a wide range of channel signal-to-ratios (SNRs), rather than only at a specific SNR. The performance of our scheme is further enhanced with the aid of a technique, referred to as pilot symbol assisted rateless (PSAR) coding, whereby a predetermined fraction of pilot bits is appropriately interspersed with the original information bits at the channel coding stage, instead of multiplexing pilots at the modulation stage, as in classic pilot symbol assisted modulation (PSAM). We subsequently demonstrate that the PSAR code-aided transmit preprocessing scheme succeeds in gleaning more information from the inserted pilots than the classic PSAM technique, because the pilot bits are not only useful for sounding the channel at the receiver but also beneficial for significantly reducing the computational complexity of the rateless channel decoder
Codes on Graphs and More
Modern communication systems strive to achieve reliable and efficient information transmission and storage with affordable complexity. Hence, efficient low-complexity channel codes providing low probabilities for erroneous receptions are needed. Interpreting codes as graphs and graphs as codes opens new perspectives for constructing such channel codes. Low-density parity-check (LDPC) codes are one of the most recent examples of codes defined on graphs, providing a better bit error probability than other block codes, given the same decoding complexity. After an introduction to coding theory, different graphical representations for channel codes are reviewed. Based on ideas from graph theory, new algorithms are introduced to iteratively search for LDPC block codes with large girth and to determine their minimum distance. In particular, new LDPC block codes of different rates and with girth up to 24 are presented. Woven convolutional codes are introduced as a generalization of graph-based codes and an asymptotic bound on their free distance, namely, the Costello lower bound, is proven. Moreover, promising examples of woven convolutional codes are given, including a rate 5/20 code with overall constraint length 67 and free distance 120. The remaining part of this dissertation focuses on basic properties of convolutional codes. First, a recurrent equation to determine a closed form expression of the exact decoding bit error probability for convolutional codes is presented. The obtained closed form expression is evaluated for various realizations of encoders, including rate 1/2 and 2/3 encoders, of as many as 16 states. Moreover, MacWilliams-type identities are revisited and a recursion for sequences of spectra of truncated as well as tailbitten convolutional codes and their duals is derived. Finally, the dissertation is concluded with exhaustive searches for convolutional codes of various rates with either optimum free distance or optimum distance profile, extending previously published results
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