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Universal Classical-Quantum Superposition coding and Universal Classical-Quantum Multiple Access channel coding

IEEE TRANSACTIONS ON INFORMATION THEORY 2022年第3期68卷 1822-1850页

作者： Hayashi, Masahito Cai, Ning Southern Univ Sci & Technol Shenzhen Inst Quantum Sci & Engn Shenzhen 518055 Peoples R China Southern Univ Sci & Technol Guangdong Prov Key Lab Quantum Sci & Engn Shenzhen 518055 Peoples R China Int Quantum Acad SIQA Shenzhen 518048 Peoples R China Nagoya Univ Grad Sch Math Nagoya Aichi 4648602 Japan ShanghaiTech Univ Sch Informat Sci & Technol Shanghai 201210 Peoples R China

We derive universal classical-quantum superposition coding and universal classical-quantum multiple access channel coding by using generalized packing lemmas for the type method. Using our classical-quantum universal superposition code, we establish the capacity region of a classical-quantum compound broadcast channel with degraded message sets. Our universal classical-quantum multiple access channel codes have two types of codes. One is a code with joint decoding and the other is a code with separate decoding. It is not so easy to construct a former code that universally achieves general points of the capacity region beyond corner points. First, we construct the latter code that universally achieves general points of the capacity region. Then, converting the latter code to the former coder, we construct the above desired code with the former type.

关键词： Codes Decoding Compounds Receivers Error probability channel coding channel capacity Universal code Schur duality multiple access channel broadcast channel with degraded message sets compound channel packing lemma classical-quantum channel

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Inter-node compression with LDPC joint source-channel coding for highly correlated sources

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AUTOMATIKA 2022年第4期63卷 779-784页

作者： Ben Abdessalem, Marwa Zribi, Amin Bouallegue, Ammar Univ Tunis El Manar SysCom Lab Natl Engn Sch Tunis BP 37 Tunis 1002 Tunisia Higher Inst Commun Technol ISETCom ICT Dept Ariana Tunisia IMT Atlantique Bretagne Pays de la Loire Brest France

This paper investigates a new communication system where two nodes want to disseminate highly correlated contents to a single destination and can be applied for densely deployed wireless sensors networks applications. Motivated by their capacity-achieving performance and existing practical implementations, the proposed communication scheme is fully based on Low-Density Parity-Check (LDPC) codes for data compression and channel coding. More specifically, we consider a network of two correlated binary sources with two orthogonal communication phases. Data are encoded at the first source with an LDPC channel code and broadcast in the first phase. Based on the first source received data, the second source computes the correlation vector and applies a Joint Source-channel (JSC) LDPC code, which output is communicated in the second phase. At the receiver, the whole network is mapped on a joint factor graph over which an iterative message-passing joint decoder is proposed. The aim of the joint decoder is to exploit the residual correlation between the sources for better estimation. Simulation results are investigated and compared to the theoretical limits and to an LDPC-based distributed coding system where no inter-node compression is applied.

关键词： Data compression distributed system correlated sources LDPC codes joint source channel coding

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A Simple and Tighter Derivation of Achievability for Classical-Quantum channel coding

A Simple and Tighter Derivation of Achievability for Classic...

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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Cheng, Hao-Chung Department of Electrical Engineering Graduate Institute of Communication Engineering National Taiwan University Taipei106 Taiwan Department of Mathematics National Taiwan University Taiwan Center for Quantum Science and Engineering National Taiwan University Taiwan Quantum Computing Center New Taipei City236 Taiwan Physics Division National Center for Theoretical Sciences Taipei10617 Taiwan

ISBN: (纸本)9781665475549

In this paper, we propose an elegant and simple one-shot achievability proof for classical-quantum channel coding. The established one-shot bound admits a closed-form expression as in the celebrated Holevo-Helstrom Theorem. Namely, the average error probability of sending M messages through a classical-quantum channel is upper bounded by the minimum error of distinguishing the joint state between channel input and output against (M-1)-many products of its marginals. Our result provides the tightest achievable one-shot capacity for classical-quantum channel coding, and it improves the third-order coding rate in the asymptotic scenario. Moreover, the derived bound directly leads to asymptotic achievability results in the large deviation, small deviation, and moderate deviation regimes in a unified *** full version of the manuscript can be found at [arXiv:2208.02132] [1]. © 2023 IEEE.

关键词： channel coding

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channel coding at Finite Blocklength and Its Application in 6G URLLC

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Journal of Computer and Communications 2023年第9期11卷 132-142页

作者： Siyu Huang Bin Sheng Chen Ji National Mobile Communications Research Laboratory Southeast University Nanjing China Purple Mountain Laboratories Nanjing China School of Information Science and Technology Nantong University Nantong China

To support mission-critical applications, such as factory automation and autonomous driving, the ultra-reliable low latency communications (URLLC) is adopted in the fifth generation (5G) mobile communications network, which requires high level of reliability and low latency. Naturally, URLLC in the future 6G is expected to have a better capability than its 5G version which poses an unprecedented challenge to us. Fortunately, the potential solution can still be found in the well-known classical Shannon information theory. Since the latency constraint can be represented equivalently by blocklength, channel coding at finite blocklength plays an important role in the theoretic analysis of URLLC. Applying these achievements in rapidly development of massive MIMO techniques gives rise to a new theory on space time exchanging. It tells us that channel coding can also be performed in space domain, since it is capable of providing the same coding rate as that in time domain. This space time exchanging theory points out an exciting and feasible direction for us to further reduce latency in 6G URLLC. .

关键词： channel coding Finite Blocklength MIMO Space Time Exchanging URLLC

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channel coding and Receiver Design for Simultaneous Wireline Information and Power Transfer

IEEE OPEN JOURNAL OF POWER ELECTRONICS

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IEEE OPEN JOURNAL OF POWER ELECTRONICS 2021年 2卷 545-558页

作者： Hoeher, Peter A. Mewis, Maximilian Liserre, Marco Univ Kiel Fac Engn D-24143 Kiel Germany

For the first time, the recently proposed "talkative power" paradigm combining power electronics and communication engineering is extended by channel coding and advanced receiver design aspects. In this concept, the pulses that control the duty cycle of switched-mode power converters are simultaneously used for data transmission by modifying the pulse phase, pulse frequency, pulse position or pulse width. The data sequence is embedded into the switching signal, similar to random modulation. The data can be used for example in point-to-point links, inside multi-port power converters, and for communication in networked power grids. As an application example a buck converter is studied. Its output voltage is numerically calculated for arbitrary two-level switching signals. The corresponding system model serves as a common framework for switching waveform design, receiver design, and performance analysis. The data sequence is represented by a small deterministic output voltage ripple. Various techniques to improve the data rate and the robustness of the communication are introduced, including line coding, a derivation of the optimum receiver in the sense of maximum-likelihood detection, and forward error correction coding as an option. Although emphasis is on a buck converter, the concept is applicable to other power converter topologies as well.

关键词： Switches Modulation Receivers Buck converters Power electronics Frequency shift keying Wireless communication channel coding data transfer maximum likelihood detection power conversion power semiconductor switches pulse width modulation converters

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Intelligent Hybrid channel coding Schemes in 5G Device Centric Mobile Communication System 3

Intelligent Hybrid Channel Coding Schemes in 5G Device Centr...

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3rd IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Indoonundon, Madhavsingh Fowdur, Tulsi Pawan Milovanovic, Dragorad A. University of Mauritius Department of Electrical and Electronic Engineering Reduit Mauritius University of Belgrade Serbia

ISBN: (纸本)9798350317022

The performance of 5G NR relies heavily on the channel codes used. Since Release 15 of 5G NR, Low-Density Parity Check (LDPC) codes and polar codes have been incorporated in the physical layer for error correction in the data channel and control channel respectively. The integration of machine learning (ML) with channel codes shows promise in improving error correction capabilities and overall system performance in 5G NR communications. This paper gives a review of state-of-the-art ML-based channel decoding algorithms which aim at improving the error performance of LDPC and polar codes. The Eb/N0 gains of these ML-based techniques are compared against each other to identify the most effective ones. Gaps in these research were also identified and used to propose two hybrid intelligent channel coding schemes as future works. © 2023 IEEE.

关键词： 5G channel coding LDPC Machine Learning Polar

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Model-Driven Deep Joint Source-channel coding over Time-Varying channels 26

Model-Driven Deep Joint Source-Channel Coding over Time-Vary...

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26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th Conference on Systems, Communications, and coding, SCC 2023

作者： Karamanli, Can Tung, Tze-Yang Gündüz, Deniz Information Processing and Communications Laboratory Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom

ISBN: (纸本)9783800760510

Machine learning techniques have recently offered powerful tools for designing joint source-channel coding (JSCC) schemes with impressive performance results. Recent works have shown that deep learning (DL) based JSCC schemes (Deep- JSCC) for wireless image transmission can outperform stateof- the-art separate source and channel coding designs. However, existing works on DL based JSCC schemes either require many models trained for specific channel conditions, increasing the storage requirements, or need to introduce additional parameters in the model to adapt to new channel conditions, increasing the complexity of the architecture. In this paper, we propose DeepJSCC-MMSE, an end-to-end optimized JSCC scheme for wireless image transmission over wireless fading channels, in which a single DeepJSCC encoder/decoder pair is trained in concatenation with a model-driven channel equalization module at the receiver, which can adapt to any channel condition without additional model parameters. We show that DeepJSC-MMSE can outperform parameterized equalization techniques, without requiring the encoder and decoder to be retrained for new channel conditions, paving the way for generalized DL based JSCC schemes. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： channel coding

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Learning End-to-End channel coding with Diffusion Models 26

Learning End-to-End Channel Coding with Diffusion Models

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26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th Conference on Systems, Communications, and coding, SCC 2023

作者： Kim, Muah Fritschek, Rick Schaefer, Rafael F. Information Theory and Machine Learning Technical University of Dresden Dresden Germany

ISBN: (纸本)9783800760510

It is a known problem that deep-learning-based end-to-end (E2E) channel coding systems depend on a known and differentiable channel model, due to the learning process and based on the gradient-descent optimization methods. This places the challenge to approximate or generate the channel or its derivative from samples generated by pilot signaling in realworld scenarios. Currently, there are two prevalent methods to solve this problem. One is to generate the channel via a generative adversarial network (GAN), and the other is to, in essence, approximate the gradient via reinforcement learning methods. Other methods include using score-based methods, variational autoencoders, or mutual-information-based methods. In this paper, we focus on generative models and, in particular, on a new promising method called diffusion models, which have shown a higher quality of generation in image-based tasks. We will show that diffusion models can be used in wireless E2E scenarios and that they work as good as Wasserstein GANs while having a more stable training procedure and a better generalization ability in testing. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： channel coding

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Optimization of Root-Protograph LDPC Codes for Joint Source channel coding System over Block Fading channel 2

Optimization of Root-Protograph LDPC Codes for Joint Source ...

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2nd International Joint Conference on Information and Communication Engineering, JCICE 2023

作者： Wu, Jihua Wang, Mengyao Chen, Qiwang Chen, Chen Huaqiao University School of Information Science and Engineering Xiamen China

ISBN: (纸本)9798350325768

Double protograph low-density parity-check (DP-LDPC) codes based on the joint source channel coding (JSCC) system has been demonstrated to have outstanding error performance over additive white Gaussian noise (AWGN) channels. However, because of the non-ergodic nature of the block-fading (BF) channels, the protograph low-density parity-check (PLDPC) codes cannot perform well over BF channel. Whereby the excellent error performance of root protograph LDPC (RPLDPC) codes under BF channel, we utilize RPLDPC codes for channel coding in DP_LDPC systems over BF channels. Then, we design a modified joint protograph extrinsic information transfer (JPEXIT) algorithm to calculate the decoding threshold of this system. utilizing the modified JPEXIT algorithm, to improve the error performance of the system. The traditional root protograph LDPC (RPLDPC) code for this system has been redesigned. The research results display that the systems with improved RPLDPC codes have lower decoding thresholds and faster convergence trend than existing RPLDPC codes and PLDPC codes. © 2023 IEEE.

关键词： channel coding

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5G channel coding Tool: Learning and Performance Evaluation

5G Channel Coding Tool: Learning and Performance Evaluation

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2023 International Technical Conference on Circuits/Systems, Computers, and Communications, ITC-CSCC 2023

作者： Mueadkhunthod, Krittiyaporn Wongsa, Anusorn Srisupha, Thanat Duangthong, Chatuporn Puntsri, Kidsanapong Phakphisut, Watid School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Rajamangala University of Technology Isan Faculty of Engineering Khon Kaen Thailand

ISBN: (纸本)9798350326413

The 5G channel coding tool is presented to explain channel coding in 5G New Radio (NR). Our tool consists of six modules such as information generator, channel encoder, modulator, noise generator, demodulator, and channel decoder. The channel encoder and modulator are developed according to 3GPP TS 38.212 and 3GPP TS 38.211 technical specifications, respectively. The 5G channel coding tool provides a graphical user interface (GUI) in which users can study the block diagrams of downlink and uplink process. In addition, our 5G channel coding tool can be used to evaluate the bit error rate performance of 5G channel coding in additive white Gaussian noise (AWGN) and fading channels. © 2023 IEEE.

关键词： channel coding

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