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Review on 5G NR LDPC Code: Recommendations for DTTB System

IEEE ACCESS 2021年 9卷 155413-155424页

作者： Li, Fengshuang Zhang, Chao Peng, Kewu Krylov, Aleksei E. Katyushnyj, Aleksandr A. Rashich, Andrey, V Tkachenko, Dmitry A. Makarov, Sergey B. Song, Jian Tsinghua Univ Dept Elect Engn Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China Peng Cheng Lab Shenzhen 518055 Peoples R China Peter Great St Petersburg Polytech Univ Higher Sch Appl Phys & Space Technol St Petersburg 195251 Russia

The freeze of the 5th generation new radio (5G NR) Release 16 indicates that 5G development has stepped into a new stage. The application of a dedicated low-density parity-check (LDPC) code for channel coding is an important technical advance that distinguishes 5G NR from the 4th generation (4G) long-term evolution (LTE) and LIE-advanced. Although LDPC codes have been used in many different systems, the newly developed LDPC code in 5G NR integrates many cutting-edge technologies to provide better performance and attractive features. Thus, it can be a good reference for channel coding in other evolving systems headed by digital terrestrial television broadcasting (DTTB). In emerging applications, the DTTB system needs to carry information with higher density, while meeting the high requirements for real-time, coverage, and bit error rate of broadcasting. To provide a reference for DTTB channel coding that improves its performance and supports new services, a review of 5G NR LDPC code implementation is carried out from three aspects: code analysis and design, decoding algorithm, and decoder architecture. We thoroughly evaluate each solution and highlight some candidates for existing implementations or directions for further development of the DTTB system.

关键词： Low-density parity-check (LDPC) code digital terrestrial television broadcasting (DTTB) 5th generation new radio (5G NR) code design decoding algorithm decoder architecture

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Nonbinary LDPC-Coded Differential Modulation: Performance and decoding algorithm

Nonbinary LDPC-Coded Differential Modulation: Performance an...

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IEEE Information Theory Workshop (ITW)

作者： Li, Minghua Bai, Baoming Zhang, Peiying Ma, Xiao Xidian Univ State Key Lab ISN Xian 710071 Peoples R China Sun Yat Sen Univ Dept ECE Guangzhou 510275 Peoples R China

ISBN: (纸本)9781479913213

This paper is concerned with the design and performance of non-binary LDPC-coded differential modulation systems. A low-complexity joint detection/decoding method for non-coherent demodulation is proposed, in which the hard-message-passing strategy is used for a joint factor graph. It combines trellis-based differential detection aided with channel prediction and the reliability-based decoding of nonbinary LDPC codes introduced in [1]. The Max-Log-MAP algorithm with soft-in hard-out is used for the differential detection. Simulation results show that the proposed method can offer good performances with a greatly reduced complexity.

关键词： decoding algorithm low density parity check codes differential modulation noncoherent demodulation differential detection joint factor Factor Graph FLEXIBLE

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A novel LSTM-RNN decoding algorithm in CAPTCHA recognition

A novel LSTM-RNN decoding algorithm in CAPTCHA recognition

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3rd International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC)

作者： Chen Rui Yang Jing Hu Rong-gui Huang Shu-guang Inst Elect Engn Dept Network Hefei Peoples R China

ISBN: (纸本)9780769551227

LSTM-RNN has been succeeded in applying in offline handwritten recognition. The paper used two-dimensional LSTM-RNN to recognize text-based CAPTCHA. Aiming at the problem that traditional decoding algorithm cannot obtain satisfactory results. The paper proposed a novel decoding algorithm based on the multi-population genetic algorithm. The experimental results showed that the novel decoding algorithm for the LSTM-RNN can improve the recognition rate of merged-type CAPTCHA.

关键词： Network Security CAPTCHA recognition decoding algorithm Recurrent Neural Network

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Based on TSIP protocol GPS data decoding algorithm

Based on TSIP protocol GPS data decoding algorithm

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4th International Conference on Manufacturing Science and Engineering (ICMSE 2013)

作者： Sui, Shou Gang Liu, Cun Gen Gao, Huan Bing School of Information and Electric Engineering Shandong Jianzhu University 250101 China

ISBN: (纸本)9783037857243

TSIP protocol is another code of GPS data which is different from NMEA0183. TSIP protocol supports 9600 baud rate or higher. TSIP protocol is duplex system, and in this protocol we can quickly obtain GPS information by using the special order instead of passively waiting. In this paper, the algorithm of GPS data based on TSIP protocol is proposed, and the advantages and disadvantages of TSIP is analyzed.

关键词： TSIP GPS decoding algorithm

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A Detection decoding of Adaptive Iterative algorithm Based on MIMO System

A Detection Decoding of Adaptive Iterative Algorithm Based o...

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2019 4th International Workshop on Materials Engineering and Computer Sciences(IWMECS 2019)

作者： Fang Weiwei Feng Wen Siping Hu Nanyang Institute of Technology Hubei University of Science and Technology

In this paper,the MIMO system and multi-user detection theory are firstly *** to the signal model,the estimation algorithm based on the minimum mean square error criterion and the zero-forcing criterion is *** on this theory,the algorithm is combined with the decision feedback and the optimal ranking *** this paper,an adaptive length spherical iterative decoding algorithm is proposed to improve the BER performance of the system,which can improve the channel capacity and improve the channel reliability and reduce the bit error ***,the performance of various algorithms is compared by *** experimental results show that the spherical decoding algorithm has great advantages for wireless communication.

关键词： Signal Model decoding algorithm MIMO Wireless Communication

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Construction and decoding algorithms for Polar Codes based on 2 x 2 Non-Binary Kernels 10

Construction and Decoding Algorithms for Polar Codes based o...

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10th IEEE International Symposium on Turbo Codes & Iterative Information Processing (ISTC)

作者： Yuan, Peihong Steiner, Fabian Tech Univ Munich Inst Commun Engn Munich Germany

ISBN: (纸本)9781538670484

Polar codes based on 2 x 2 non-binary kernels are discussed in this work. The kernel over GF(q) is selected by maximizing the polarization effect and using Monte-Carlo simulation. Belief propagation (BP) and successive cancellation (SC) based decoding algorithms are extended to non-binary codes. Additionally, a successive cancellation list (SCL) decoding with a pruned tree is proposed. Simulation results show that the proposed decoder performs very close to a conventional SCL decoder with significantly lower complexity.

关键词： non-binary polar codes kernel selection decoding algorithm

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Comparison of Various decoding algorithms for EG-Low Density Parity Check Codes 1st

Comparison of Various Decoding Algorithms for EG-Low Density...

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International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy (ETAEERE)

作者： Babu, J. Chinna Reddy, C. Chinnapu Prasad, M. N. Giri JNTUA Anantapur Andhra Pradesh India TEQIP II SPFU AP Oo CTE Vijayawada Andhra Pradesh India JNTUA Dept ECE Anantapur Andhra Pradesh India

ISBN: (纸本)9789811047626;9789811047619

he latest advancements in low-density parity-check (LDPC) codes have been resulted in reducing the decoding complexity. Hence, these codes have excelled over turbo codes, BCH codes, and linear block codes in terms of evaluating the performance in higher decoding rate;hence, these decodable codes are the trending topic in coding theory of signals. Construction of LDPC codes is being elaborated in this proposed paper which further helps to study decoding and encoding of these binary and non-binary low-density parity-check codes, respectively. In this proposed design architecture, we have considered the SBF and MLDD algorithms employed here utilize reliability estimation to improve error performance and it has advantages over bit flipping (BF) algorithms. This algorithm can be improved with still more security level by having a trade-off between performance and data transmission. It can also be enhanced by implementing it in real-time applications for data decoding and correction, for smaller-size datum.

关键词： LDPC codes decoding algorithm Shannon limit Delay SBF MLDD

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LDPC check node implementation using reversible logic

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IET CIRCUITS DEVICES & SYSTEMS 2019年第4期13卷 443-455页

作者： Awais, Muhammad Razzaq, Anas Ahmed, Ashfaq Masera, Guido COMSATS Univ Islamabad Dept Elect & Comp Engn Wah Campus Islamabad Pakistan Politecn Torino Dept Elect & Telecommun Turin Italy

Reversible logic is an emerging digital design paradigm which promises low energy dissipation;thanks to its information-lossless nature. True potential of this exciting concept can only be assessed by facing the design of practical complexity applications. Low density parity check (LDPC) decoding is one such application from forward error correction domain. The core of LDPC decoding is the check node (CN) processor, which executes the decoding algorithm and constitutes a major portion of decoder's overall power consumption. This work proposes a low-power LDPC CN architecture using reversible logic gates. Transistor level design and full custom layout of proposed architecture is carried out on UMC 90 nm complementary metal-oxide-semiconductor technology. All reversible blocks of proposed CN are optimised for quantum cost, garbage outputs and transistor count. The CN functionality is validated with post-layout simulations, layout versus schematic checks and design rule checks. The proposed CN occupies a post-layout area of 0.013 mm(2), achieves up to 4.3 GHz frequency and consumes 52 mu W power. The performance of proposed CN is also compared with its implementation using irreversible gates. The proposed CN achieves about 300% reduction in power delay product with affordable complexity as compared to its classical implementation.

关键词： practical complexity applications logic gates postlayout simulations forward error correction domain low-power electronics schematic checks reversible logic gates logic circuits forward error correction postlayout area LDPC check node implementation decoding transistor level design complementary metal–oxide–semiconductor technology CN functionality power delay product LDPC decoding logic design digital design paradigm CMOS integrated circuits reversible blocks information-lossless nature low-power LDPC CN architecture low density parity check decoding check node processor decoding algorithm transistors parity check codes low energy dissipation

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Improved Segmented SC-Flip decoding of Polar Codes Based on Gaussian Approximation 4

Improved Segmented SC-Flip Decoding of Polar Codes Based on ...

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4th International Conference on Smart and Sustainable Technologies (SpliTech)

作者： Fang, Ying Li, Jianping Lv, Yansong Commun Univ China Beijing Peoples R China

ISBN: (纸本)9789532900910

Compared to Successive Cancellation (SC) decoding algorithm, Successive Cancellation Flip (SCF) decoding algorithm keep the same average computational complexity at high SNR while improving performance. To correct more errors, Partitioned Successive Cancellation Flip (PSCF) decoding algorithm is subsequently proposed with lower computational complexity than SCF decoding algorithm. In this paper, we propose an improved segmented SC-Flip (SSCF) decoding algorithm, which divide the codeword through Gaussian Approximation (GA) of calculating the error probability of each bit channel. Simulation results show that this segmented approach can achieve 48.66% average complexity reduction at SNR of 0.5 dB for (1024, 512) polar code, and better performance compared to PSCF decoding algorithm.

关键词： Polar codes decoding algorithm Gaussian approximation

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Research on the application of LDPC code in chaotic sequence image encryption

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2019年第3-Sup期22卷 S6359-S6370页

作者： Wang, Zhong-xun Lou, Yang Wang, Wen-qi Zhang, Min Li, Xiao-lin Yantai Univ Inst Sci & Technol Optoelect Informat Yantai Peoples R China

Low density parity check code (LDPC) is a linear block code whose performance is close to Shannon's limit. Compared with other decoding algorithms, it has low decoding complexity and flexible structure. So it becomes people's research hotspots. In recent years, LDPC code codec algorithm has been improved, and is widely used in deep space communications, optical fiber communications, mobile communications and underwater and other fields. Using chaotic sequence single-layer mapping plus pixel scrambling can complete chaotic image encryption, because some chaotic sequence is poor robust, in the process of channel transmission, it is difficult to ensure that the information can be destroyed after the attack In this paper, LDPC codes are introduced, and in the chaotic image encryption, block coding is used to form error protection to improve the stability of the image transmission process and improve the transmission quality.

关键词： LDPC code Logistic chaotic sequence image encryption Coding algorithm decoding algorithm

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