Article
Telecommunications
Xinwei Zhao, Shancheng Zhao, Zhetao Li
Summary: This letter proposes an enhanced anchor decoding algorithm for staircase codes with hard reliability scores. The algorithm assigns the scores based on observations of the decoding results and effectively prevents miscorrections. Simulation results demonstrate the improved performance of the algorithm compared to the existing algorithm.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Yong-Ting Ni, Duc Nhat Nguyen, Feng-Kai Liao, Tzu-Chieh Kao, Chao-Yu Chen
Summary: This paper presents novel hard-decision iterative decoding algorithms for binary Reed-Muller codes. The algorithms are based on the majority-logic decoding algorithm with reliability measures of the received sequence. By flipping one or multiple bits of the received hard-decision sequence in each iteration, the proposed algorithms can reduce the average number of iterations and improve the decoding performance. Simulation results show that the proposed algorithms outperform the conventional decoding algorithm.
Article
Engineering, Electrical & Electronic
Sisi Miao, Lukas Rapp, Laurent Schmalen
Summary: This study proposes a novel hybrid decoder for decoding product codes. The decoder is based on error-and-erasure decoding and dynamic reliability scores. Experimental results show that the decoder can significantly reduce the miscorrection rate and improve the decoding performance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Lukas Rapp, Laurent Schmalen
Summary: This paper investigates the performance of high-rate product codes and staircase codes in high-speed optical communication on a channel with ternary output and ternary message passing. The analysis is based on density evolution and shows that using even-weight BCH subcodes as component codes can improve decoding performance at high rates. Monte-Carlo simulations verify the results of the analysis.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Alireza Sheikh, Alexandre Graell i Amat, Alex Alvarado
Summary: The paper introduces two new decoding algorithms for improving the performance of iBDD-CR on PCs and SCCs, utilizing error and erasure decoding of component codes for an additional decoding attempt. These algorithms only require the exchange of hard messages between component decoders, making them suitable for ultra high-throughput fiber-optic systems.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Yifei Shen, Wenyue Zhou, Yongming Huang, Zaichen Zhang, Xiaohu You, Chuan Zhang
Summary: Iterative detection and decoding (IDD) has a higher capacity than separate detection and decoding (SDD), but requires both the detector and decoder to support soft input and soft output. This paper proposes a soft-output list (SOL) decoder to overcome the performance limitations of existing soft-output polar decoders and accelerate the decoding process by exploiting the properties of special nodes. Experimental results show that the error-rate performance of the FastSOL decoder improves with an increase in the number of iterations in the non-IDD setup.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Mao-Ching Chiu, Yi-Sheng Su
Summary: The performance of a code under the maximum-likelihood decoder is highly influenced by the weight enumerating function. Efficiently computing the weight enumerating function for polar codes or polarization-adjusted convolutional codes remains an open problem. For stand-alone polar code design, we enumerate the number of minimum-weight non-zero codewords and approximate the block error rate using this information. For PAC code design, we average the weight enumerating function over random PAC code ensembles and represent the ML-BLER upper bound as a function of this average. Bit-channel selection algorithms are proposed for polar codes and PAC codes, considering both the polarization effect and ML decoding performance. Simulation results show competitive performance of the proposed stand-alone polar codes for large block lengths and excellent performance of the proposed PAC codes compared to 5G polar codes.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Telecommunications
Shangpeng Deng, Zhiyuan Xiao, Jin Sha, Zhongfeng Wang
Summary: This letter proposes an adaptive Chase-Pyndiah algorithm to improve the error correction performance of Turbo Product Codes (TPCs) with negligible complexity increase. The algorithm adaptively adjusts the weighting factor and reliability factor based on the analog weight of the decision codeword for a component code. Simulation results demonstrate that the proposed algorithm achieves a signal-to-noise ratio (SNR) gain of 0.16 to 0.18 dB at a bit-error-rate (BER) of 10(-6) over additive white Gaussian noise (AWGN) channels.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Alvin Y. Sukmadji, Umberto Martinez-Penas, Frank R. Kschischang
Summary: Zipper codes are a framework for describing spatially-coupled product-like codes, including many well-known codes and introducing new types of codes. Stall patterns in iterative decoding are analyzed, providing a means of error floor estimation.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Ming Wang, Yong Li, Rui Liu, Huihui Wu, Youqiang Hu, Francis C. M. Lau
Summary: This paper proposes a low-complexity decoder based on a neural network for decoding binary quadratic residue codes. The decoder is based on the neural min-sum algorithm and the modified random redundant decoder algorithm. It achieves a gain of more than 0.4 dB compared to the difference on syndromes algorithm with the same asymptotic time complexity.
Article
Telecommunications
Shuyan Yu, Qin Huang
Summary: This article introduces a method for constructing the reliability of decoding parity-check codes from syndromes, and proposes an algorithm for decoding and evaluating error-correction capability. This method is applicable to specific application areas such as public key encryption and optical communications.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Telecommunications
Yating Liu, Yifei Shen, Wenyue Zhou, Xiaosi Tan, Xiaohu You, Chuan Zhang
Summary: Channel coding and MIMO antennas are crucial technologies in modern communication systems. The EP detector has been proven to outperform other detectors for MIMO detection. This study proposes a novel EP detection with LP, called EPLP, which utilizes parity constraints of channel coding for improved initialization. Furthermore, the EPLP detector is applied to a polar-coded MIMO system with IDD, achieving better performance than state-of-the-art detectors.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Mathematics, Applied
Mohammad Reza Alimoradi, Karim Samei
Summary: The study introduced a decoding algorithm for cyclic codes of odd length over F2+uF2, and defined a Gray map and a BCH-like bound for Lee distance of codes over R.
COMPUTATIONAL & APPLIED MATHEMATICS
(2021)
Article
Computer Science, Hardware & Architecture
Venkatesan Guruswami, Chaoping Xing
Summary: This article presents new constructions of two classes of algebraic code families that can be efficiently list decoded with small output list size from adversarial errors. The alphabet size required for these codes only depends on the error tolerance and is nearly optimal.
JOURNAL OF THE ACM
(2022)
Article
Telecommunications
Weigang Chen, Ting Wang, Changcai Han, Jinsheng Yang
Summary: The study introduces the use of high-rate Reed-Solomon (RS) codes as outer codes to construct LDPC-RS product codes, aiming to eliminate the error floor phenomenon of LDPC codes and effectively utilize the erasure-correction capability through a hybrid error-erasure-correction decoding algorithm for the outer code. The overall performance of product codes is enhanced by iteration between outer and inner codes.
CHINA COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Christian Hager, Henry D. Pfister
Summary: A new physics-based machine-learning model is proposed for solving problems in fiber-optic communication systems, efficiently inverting the nonlinear Schrodinger equation. By progressively pruning filter taps, complexity can be significantly reduced.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Ido Tal, Henry D. Pfister, Arman Fazeli, Alexander Vardy
Summary: This paper presents the first proof of polarization for the deletion channel with a constant deletion rate and a regular hidden-Markov input distribution. It introduces weak and strong polarization schemes by modifying the codeword and achieves exponential decay of error probability.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Engineering, Electrical & Electronic
Jinxiang Song, Christian Haeger, Jochen Schroeder, Alexandre Graell Amat, Henk Wymeersch
Summary: We propose an autoencoder-based transceiver for a wavelength division multiplexing system impaired by hardware imperfections. The autoencoder is designed following the architecture of conventional communication systems, enabling it to have similar performance and improve training convergence rate. Simulation results show that the proposed autoencoder significantly outperforms the conventional approach in terms of spectral efficiency.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Article
Computer Science, Information Systems
Mustafa Cemil Coskun, Henry D. Pfister
Summary: This work identifies information-theoretic quantities related to the required list size for SCL decoding and provides upper and lower bounds for these quantities. It also shows how to improve performance by modifying codes and provides exemplary structures that outperform polar codes of 5G. Additionally, it demonstrates the concentration of the logarithm of the required list size for sufficiently large block lengths.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Engineering, Electrical & Electronic
Jinxiang Song, Christian Hager, Jochen Schroder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch
Summary: This work aims to understand the performance of end-to-end autoencoder (AE) learning in multiple-input multiple-output (MIMO) and multi-user (MU) systems compared to human-engineered schemes. Four case studies are conducted, showing improved baseline schemes and feasibility of a novel AE method. It also highlights potential pitfalls in interpreting learned communication schemes.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Zonglong He, Jinxiang Song, Kovendhan Vijayan, Christian Hager, Alexandre Graell i Amat, Henk Wymeersch, Peter A. Andrekson, Magnus Karlsson, Jochen Schroder
Summary: The study demonstrates a novel size reduction approach for LUT digital predistortion, minimizing storage memory requirements while maintaining performance for high-order modulation formats. Additionally, a neural network-based nonlinear predistortion technique is proposed, showcasing consistent performance across various constellations.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Telecommunications
Christian Hager, Erik Agrell
Summary: This article addresses the problem of estimating the upper bound on the capacity of a memoryless channel with unknown channel law and continuous output alphabet. A novel data-driven algorithm is proposed that takes advantage of the dual representation of capacity and uses a modified mutual information neural estimator to efficiently compute the required divergence maximization.
IEEE COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Information Systems
Mustafa Cemil Coskun, Gianluigi Liva, Alexandre Graell Amat, Michael Lentmaier, Henry D. D. Pfister
Summary: A product code with single parity-check component codes is described using multi-kernel polar code tools, selecting the rows of the generator matrix according to the constraints of the product code construction. Successive cancellation decoding is introduced for these codes, characterizing the error probability over binary memoryless symmetric channels. A bridge with Elias' analysis of product codes for the binary erasure channel is established. Successive cancellation list decoding of the single parity-check product codes is described, and simulations show its superiority over belief propagation decoding on the code graph. The performance of concatenating a product code with a high-rate outer code is investigated, demonstrating examples that perform close to the random coding union bound within 0.7 dB.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2023)
Proceedings Paper
Optics
Muralikrishnan Srinivasan, Jinxiang Song, Christian Hager, Krzysztof Szczerba, Henk Wymeersch, Jochen Schroder
Summary: An auto-encoder is used to optimize a VCSEL-based fiber-optic system end-to-end, achieving a 1.5dB sensitivity gain at higher temperatures. This is achieved by training a neural network that models the response of a VCSEL across a range of operating temperatures.
2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)
(2022)
Proceedings Paper
Optics
Mohammad Farsi, Christian Hager, Magnus Karlsson, Erik Agrell
Summary: A novel tracking algorithm is proposed for optical channels with fast SOP rotations and PDL. Unlike gradient descent-based algorithms, our algorithm performs similarly or better without step size adjustment.
2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)
(2022)
Proceedings Paper
Telecommunications
Jose Miguel Mateos-Ramos, Jinxiang Song, Yibo Wu, Christian Hager, Musa Furkan Keskin, Vijaya Yajnanarayana, Henk Wymeersch
Summary: This paper presents a novel approach for data-driven integrated sensing and communication (ISAC) using an auto-encoder (AE) structure, which overcomes the limitations of model-based methods in representing reality and provides robust ISAC performance, particularly under hardware impairments.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Proceedings Paper
Telecommunications
Yibo Wu, Jinxiang Song, Christian Hager, Ulf Gustaysson, Alexandre Graell I. Amat, Henk Wymeersch
Summary: We propose an over-the-air digital predistortion optimization algorithm using reinforcement learning, which minimizes the errors between downsampled messages at the receiver side. The algorithm does not require knowledge about the underlying hardware or channel. Results show that the proposed algorithm achieves improved performance in terms of symbol error rate compared with an indirect learning architecture, even when coupled with a full sampling rate ADC in the feedback path. Furthermore, it maintains a satisfactory adjacent channel power ratio.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Farsi, Christian Hager, Magnus Karlsson, Erik Agrell
Summary: This paper analyzes the effectiveness of polarization tracking algorithms in optical transmission systems undergoing fast state of polarization rotations and polarization-dependent loss. The proposed algorithms demonstrate higher robustness to SOP and PDL drift compared to GD-based algorithms, making them promising candidates for use in aerial fiber links.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Zonglong He, Jinxiang Song, Christian Hager, Alexandre Graell i Amat, Henk Wymeersch, Peter A. Andrekson, Magnus Karlsson, Jochen Schroder
Summary: We present a machine learning-based pulse shaping filter for spectral superchannels. Compared to traditional filters, our learned filter reduces the length of the adaptive equalizer for the same spectral efficiency.
2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)
(2022)
Article
Optics
Sarah Brandsen, Mengke Lian, Kevin D. Stubbs, Narayanan Rengaswamy, Henry D. Pfister
Summary: The discrimination of quantum states is investigated in this work. In the first part, a locally greedy scheme and an improved locally greedy scheme are proposed to distinguish between tensor products of pure states and mixed states. In the second part, these schemes are compared with a dynamic programming approach.