We newly design time-varying low-density parity-check convolutionalcodes (ldpc-CCs) based on parity check polynomials of the convolutionalcodes with a time period of 3. and show that BER (Bit Error Rate) performance...
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We newly design time-varying low-density parity-check convolutionalcodes (ldpc-CCs) based on parity check polynomials of the convolutionalcodes with a time period of 3. and show that BER (Bit Error Rate) performance in the time-varying ldpc-CCs with a time period of 3 is better than that in the conventional time-varying ldpc-CCs with a time period of 2 in the same coding rate with the nearly equal constraint length.
Coded cooperation is a kind of virtual MIMO transmission technology that can achieve both coding gain and diversity gain, which is very promising in 5G communication. To design a scheme that can be used for near-capac...
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ISBN:
(纸本)9788996865094
Coded cooperation is a kind of virtual MIMO transmission technology that can achieve both coding gain and diversity gain, which is very promising in 5G communication. To design a scheme that can be used for near-capacity transmission and can be generalized for slow and fast fading channels, this paper studies the coding cooperation based on convolutionalldpccodes. Firstly, channel coding the original information by ldpc convolutional codes, then divided the coded words into two parts by puncturing algorithm;secondly, introducing space-time transmission into the second frame of coded cooperation, so the diversity gain can be obtained under different fading scenarios. Simulation results show that the system performance can be improved generally.
Existence type lower bounds on the free distance of periodically time-varying ldpc convolutional codes and on the minimum distance of tail-biting ldpc convolutional codes are derived. It is demonstrated that the bound...
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Existence type lower bounds on the free distance of periodically time-varying ldpc convolutional codes and on the minimum distance of tail-biting ldpc convolutional codes are derived. It is demonstrated that the bound on free distance of periodically time-varying ldpc convolutional codes approaches the bound on free distance of general (nonperiodic) time-varying ldpc convolutional codes as the period increases. The proof of the bound is based on lower bounding the minimum distance of corresponding tail-biting ldpc convolutional codes, which is of interest in its own right.
In this paper, we present a construction method of nonbinary low-density parity-check (ldpc) convolutionalcodes. Our construction method is an extension of Felstrom and Zigangirov construction [1] for non-binary ldpc...
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In this paper, we present a construction method of nonbinary low-density parity-check (ldpc) convolutionalcodes. Our construction method is an extension of Felstrom and Zigangirov construction [1] for non-binary ldpc convolutional codes. The rate-compatibility of the non-binary convolutional code is also discussed. The proposed rate-compatible code is designed from one single mother (2,4)-regular nonbinary ldpcconvolutional code of rate 1/2. Higher-rate codes are produced by puncturing the mother code and lower-rate codes are produced by multiplicatively repeating the mother code. Simulation results show that non-binary ldpc convolutional codes of rate 1/2 outperform state-of-the-art binary ldpc convolutional codes with comparable constraint bit length. Also the derived low-rate and high-rate non-binary ldpc convolutional codes exhibit good decoding performance without loss of large gap to the Shannon limits.
An iterative decoding threshold analysis for terminated regular ldpcconvolutional (ldpcC) codes is presented. Using density evolution techniques, the convergence behavior of an iterative belief propagation decoder is...
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An iterative decoding threshold analysis for terminated regular ldpcconvolutional (ldpcC) codes is presented. Using density evolution techniques, the convergence behavior of an iterative belief propagation decoder is analyzed for the binary erasure channel and the AWGN channel with binary inputs. It is shown that for a terminated ldpcC code ensemble, the thresholds are better than for corresponding regular and irregular ldpc block codes.
An ensemble of (J, K) -regular low-density parity-check (ldpc) convolutionalcodes is introduced and existence-type lower bounds on the minimum distance d(L) of code segments of finite length L and on the free distanc...
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An ensemble of (J, K) -regular low-density parity-check (ldpc) convolutionalcodes is introduced and existence-type lower bounds on the minimum distance d(L) of code segments of finite length L and on the free distance d(free) are derived. For sufficiently large constraint lengths nu, the distances are shown to grow linearly with v and the ratio d(L)/nu approaches the ratio d(free)/nu for large L. Moreover, the ratio of free distance to constraint length is several times larger than the ratio of minimum distance to block length for Gallager's ensemble of (J, K) -regular ldpc block codes.
Here we propose an ensemble of non-terminated systematic ldpc convolutional codes with increasing memory, and show that, over the binary erasure channel (BEC), these codes achieve anytime reliability asymptotically wh...
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Here we propose an ensemble of non-terminated systematic ldpc convolutional codes with increasing memory, and show that, over the binary erasure channel (BEC), these codes achieve anytime reliability asymptotically when decoded with an expanding-window message-passing decoder. The corresponding anytime exponents are determined through protograph-based extrinsic information transfer charts. Fundamental complications arising when transmitting with finite block lengths are identified and a combinatorial performance analysis, when transmitting over a static BEC with a fixed number of erasures per code-word block, is developed. Based on the performance analysis, we explore the use of feedback for achieving anytime behavior with constraints on block length. To meet complexity constraints, with or without feedback, the code memory can be limited at the cost of an error floor emerging with a delay proportional to the memory constraint. Although the analysis is developed for a static BEC we show numerically that we can design efficient low-complexity finite-length codes with anytime properties even for the conventional BEC.
In this paper we present bilayer ldpc convolutional codes for half-duplex relay channels. Two types of codes, bilayer expurgated ldpc convolutional codes and bilayer lengthened ldpc convolutional codes, are proposed f...
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In this paper we present bilayer ldpc convolutional codes for half-duplex relay channels. Two types of codes, bilayer expurgated ldpc convolutional codes and bilayer lengthened ldpc convolutional codes, are proposed for decode-and-forward (DF) relaying. In the case of the binary erasure relay channel, we prove analytically that both code constructions achieve the capacities of the source-relay link and the source-destination link simultaneously, provided that the channel conditions are known when designing the codes. Meanwhile, both codes enable the highest transmission rate possible with DF relaying for a wide range of channel parameters. In addition, the regular degree distributions can easily be computed from the channel parameters, which significantly simplifies the code optimization. The code construction and performance analysis are extended to the general binary memoryless symmetric channel, where a capacity-achieving performance is conjectured. Numerical results are provided for both types of codes with finite node degrees over binary erasure channels and binary-input additive white Gaussian noise channels, which verify the aforementioned theoretical analysis.
A new construction combining ldpc convolutional codes and multilevel coding/modulation is suggested and analyzed. In the case of QPSK, we demonstrate that it has a better performance than an ldpcconvolutional code co...
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A new construction combining ldpc convolutional codes and multilevel coding/modulation is suggested and analyzed. In the case of QPSK, we demonstrate that it has a better performance than an ldpcconvolutional code combined with conventional Gray mapping. (c) 2004 Elsevier GmbH. All rights reserved.
Anytime transmission has been shown to be an effective means of stabilizing an unstable system over noisy channels. A crucial issue in implementing anytime transmission strategies is the design of anytime codes that o...
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Anytime transmission has been shown to be an effective means of stabilizing an unstable system over noisy channels. A crucial issue in implementing anytime transmission strategies is the design of anytime codes that offer good finite-length performance and asymptotic anytime properties. This paper introduces an efficient anytime code derived from protograph-based low-density parity-check convolutionalcodes known as extended S-ldpcC (XS-ldpcC) codes. The asymptotic anytime properties of XS-ldpcC codes over both the binary erasure channel (BEC) and the binary-input additive white Gaussian noise (BIAWGN) channel are demonstrated through density evolution. By means of certain observations verified by simulations, we provide accurate estimates of the delay exponents of XS-ldpcC codes over the BEC and the BIAWGN channel. Through simulations, the finite-length performance of XS-ldpcC codes and the effects of different code design parameters are quantified.
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