LDPC-based Joint Source Channel Coding and Decoding Strategies for single relay cooperative communications

Abdessalem, Marwa Ben; Zribi, Amin; Matsumoto, Tadashi; Dupraz, Elsa; Bouallègue, Ammar

doi:10.1016/j.phycom.2019.100947

Cited by 14 publications

(10 citation statements)

References 36 publications

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“…A JSCD decoder composed of two LDPC decoders was proposed, where the encoded bits at the output of each LDPC decoder were used as the a priori information at the other decoder. Abdessalem et al [2] presented similar ideas by considering relay cooperative communications. Methods of joint channel decoding and state estimation for cyber-physical systems have been studied in [19].…”

Section: Related Work 21 General Jscd Jscc and Cross-layer Schemesmentioning

confidence: 98%

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Lin

Zhang

et al. 2022

ACM Trans. Multimedia Comput. Commun. Appl.

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Ultra High-Definition (UHD) and Virtual Reality (VR) video streaming over 5G networks are emerging, in which High-Efficiency Video Coding (HEVC) is used as source coding to compress videos more efficiently and polar code is used as channel coding to transmit bitstream reliably over an error-prone channel. In this article, a novel Joint Source-Channel Decoding (JSCD) of polar codes for HEVC-based video streaming is presented to improve the streaming reliability and visual quality. Firstly, a Kernel Density Estimation (KDE) fitting approach is proposed to estimate the positions of error channel decoded bits. Secondly, a modified polar decoder called R-SCFlip is designed to improve the channel decoding accuracy. Finally, to combine the KDE estimator and the R-SCFlip decoder together, the JSCD scheme is implemented in an iterative process. Extensive experimental results reveal that, compared to the conventional methods without JSCD, the error data-frame correction ratios are increased. Averagely, 1.07% and 1.11% Frame Error Ratio (FER) improvements have been achieved for Additive White Gaussian Noise (AWGN) and Rayleigh fading channels, respectively. Meanwhile, the qualities of the recovered videos are significantly improved. For the 2D videos, the average Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM) gains reach 14% and 34%, respectively. For the 360֯ videos, the average improvements in terms of Weighted-to-Spherically-uniform PSNR (WS-PSNR) and Voronoi-based Video Multimethod Assessment Fusion (VI-VMAF) reach 21% and 7%, respectively.

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Section: Related Work 21 General Jscd Jscc and Cross-layer Schemesmentioning

confidence: 98%

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Lin

Zhang

et al. 2022

ACM Trans. Multimedia Comput. Commun. Appl.

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“…where β is the proportion of the dataset transmitted at the first phase, and the ratio R sc R cc is the joint source-channel coding rate [57]. In addition, while R sc ∈ [0, 1] and R cc ∈ [0, 1], the ratio R sc R cc does not necessarily belong to [0, 1].…”

Section: Rate Evaluationmentioning

confidence: 99%

An End-to-End Scheme for Learning Over Compressed Data Transmitted Through a Noisy Channel

Tasdighi

Dupraz

2023

IEEE Access

Self Cite

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Within the emerging area of goal-oriented communications, this paper introduces a novel endto-end transmission scheme dedicated to learning over a noisy channel, under the constraint that no prior training dataset is available. In this scheme, the transmitter makes use of powerful Spherical Harmonic Transform and Irregular Hexagonal Quadratic Amplitude Modulation techniques, while the receiver relies on a Complex-Valued Neural Network (CVNN) so as to realize the learning task onto the received noisy data. As a main feature of the proposed scheme, the transmitter is fixed and does not depend on the source statistics, while the receiver is trained from a first data transmission phase, thus providing an efficient transmission-versus-learning approach under the considered constraint. The proposed transmission scheme may be adapted to a variety of learning problems, and the paper specifically investigates clustering and classification, two very common learning tasks. In the last part of the paper, the source/channel coding rate of the proposed transmission scheme is evaluated theoretically and from numerical simulations. This analysis shows a clear advantage in terms of coding rate of our scheme compared to conventional coding approaches, when targeting the same learning performance level.

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“…The results exhibit 67% decoding efficiency. In the proposed work [ 34 ], the idea behind cooperation is that of apparently using the same medium, but virtually creating a multicast system, and that is done by path sharing. The soft-in and soft-out information of the LDPC codes are exploited to gain both diversity and less-complexity.…”

Section: Related Contemporary Workmentioning

confidence: 99%

Performance Analysis of Sphere Packed Aided Differential Space-Time Spreading with Iterative Source-Channel Detection

Khan

Minallah

Ahmad

et al. 2021

Sensors

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The introduction of 5G with excessively high speeds and ever-advancing cellular device capabilities has increased the demand for high data rate wireless multimedia communication. Data compression, transmission robustness and error resilience are introduced to meet the increased demands of high data rates of today. An innovative approach is to come up with a unique setup of source bit codes (SBCs) that ensure the convergence and joint source-channel coding (JSCC) correspondingly results in lower bit error ratio (BER). The soft-bit assisted source and channel codes are optimized jointly for optimum convergence. Source bit codes assisted by iterative detection are used with a rate-1 precoder for performance evaluation of the above mentioned scheme of transmitting sata-partitioned (DP) H.264/AVC frames from source through a narrowband correlated Rayleigh fading channel. A novel approach of using sphere packing (SP) modulation aided differential space time spreading (DSTS) in combination with SBC is designed for the video transmission to cope with channel fading. Furthermore, the effects of SBC with different hamming distances d(H,min) but similar coding rates is explored on objective video quality such as peak signal to noise ratio (PSNR) and also the overall bit error ratio (BER). EXtrinsic Information Transfer Charts (EXIT) are used for analysis of the convergence behavior of SBC and its iterative scheme. Specifically, the experiments exhibit that the proposed scheme of error protection of SBC d(H,min) = 6 outperforms the SBCs having same code rate, but with d(H,min) = 3 by 3 dB with PSNR degradation of 1 dB. Furthermore, simulation results show that a gain of 27 dB Eb/N0 is achieved with SBC having code rate 1/3 compared to the benchmark Rate-1 SBC codes.

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LDPC-based Joint Source Channel Coding and Decoding Strategies for single relay cooperative communications

Cited by 14 publications

References 36 publications

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

Joint Source-Channel Decoding of Polar Codes for HEVC-Based Video Streaming

An End-to-End Scheme for Learning Over Compressed Data Transmitted Through a Noisy Channel

Performance Analysis of Sphere Packed Aided Differential Space-Time Spreading with Iterative Source-Channel Detection

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