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Robust distributed video coding for wireless multimedia sensor networks

MULTIMEDIA TOOLS AND APPLICATIONS 2018年第4期77卷 4453-4475页

作者： Yang, Hong Qing, Linbo He, Xiaohai Ou, Xianfeng Liu, Xiaojuan Sichuan Univ Coll Elect & Informat Engn Chengdu 610064 Sichuan Peoples R China Univ Elect Sci & Technol China Chengdu Coll Chengdu 611731 Sichuan Peoples R China Hunan Inst Sci & Technol Yueyang 414006 Peoples R China

coding complexity and error-resilience are the two key factors for video streaming in Wireless Multimedia Sensor Networks (WMSNs). Towards this objective, this paper proposes a Robust distributed Video coding (RDVC) framework to optimize the quality of video transmission for WMSNs. A new error-resilient Key frame coding scheme is proposed based on the protection of Wyner-Ziv coding (WZC), in which additional Wyner-Ziv bits play a significant role for better error resilience and better Rate/Distortion (RD) performance. In addition, following the theoretical background of distributed joint source channel coding (DJSCC), a novel distributed source channel codec based on Group Puncture Rate Adaptive IRA code (GPRA-IRA) is proposed, upon which the error-resilient Wyner-Ziv codec is designed. These experimental results show that the proposed RDVC scheme outperforms the relevant coding in terms of RD performance, notably by up to 1-3 dB, while achieving a lower encoding complexity.

关键词： Wireless multimedia sensor networks distributed video coding distributed joint source-channel coding Wyner-ziv coding

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distributed joint source-channel code design for GMAC using irregular LDPC codes

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2014年第1期2014卷 1-15页

作者： Shahid, Iqbal Yahampath, Pradeepa Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 5V6 Canada

Separate source and channel coding is known to be sub-optimal for communicating correlated sources over a Gaussian multiple access channel (GMAC). This paper presents an approach to designing distributed joint source-channel (DJSC) codes for encoding correlated binary sources over a two-user GMAC, using systematic irregular low-density parity check (LDPC) codes. The degree profile defining the LDPC code is optimized for the joint source probabilities using extrinsic information transfer (EXIT) analysis and linear programming. A key issue addressed is the Gaussian modeling of log-likelihood ratios (LLRs) generated by nodes representing the joint source probabilities in the combined factor graph of the two LDPC codes, referred to as source-channel factor (SCF) nodes. It is shown that the analytical expressions based on additive combining of incoming LLRs, as done in variable nodes and parity check nodes of the graph of a single LDPC code, cannot be used with SCF nodes. To this end, we propose a numerical approach based on Monte-Carlo simulations to fit a Gaussian density to outgoing LLRs from the SCF nodes, which makes the EXIT analysis of the joint decoder tractable. Experimental results are presented which show that LDPC codes designed with the proposed approach outperforms previously reported DJSC codes for GMAC. Furthermore, they demonstrate that when the sources are strongly dependent, the proposed DJSC codes can achieve code rates higher than the theoretical upper-bound for separate source and channel coding.

关键词： Gaussian multiple-access channels distributed joint source-channel coding LDPC codes EXIT analysis

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distributed coding for Multiple Access Communication with Side Information

Distributed Coding for Multiple Access Communication with Si...

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IEEE Wireless Communications and Networking Conference

作者： Varshneya, Virendra K. Sharma, Vinod Indian Inst Sci Dept Elect Commun Engg Bangalore 560012 Karnataka India

ISBN: (纸本)9781424402694;9781424402700

In a typical sensor network scenario a goal is to monitor a spatio-temporal process through a number of inexpensive sensing nodes, the key parameter being the fidelity at which the process has to be estimated at distant locations. We study such a scenario in which multiple encoders transmit their correlated data at finite rates to a distant, common decoder over a discrete time multiple access channel under various side information assumptions. In particular, we derive an achievable rate region for this communication problem.

关键词： Sensor networks multiple access channel distributed joint source-channel coding

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Layered Wyner-Ziv video coding for transmission over unreliable channels

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SIGNAL PROCESSING 2006年第11期86卷 3212-3225页

作者： Xu, Qian Stankovic, Vladimir Xiong, Zixiang Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA

Based on recent works on Wyner-Ziv coding (WZC) (or lossy source coding with decoder side information), this paper considers the case with noisy channel and addresses distributed joint source-channel coding (JSCC), while targeting at the important application of scalable video transmission over wireless networks. In WZC, after quantization, Slepian-Wolf coding (SWC) is used to reduce the rate. SWC is traditionally realized by sending syndromes of a linear channel code. Since syndromes of the channel code can only compress but cannot protect, for transmission over noisy channels, additional error protection is needed. However, instead of using one channel code for SWC and one for error protection, our idea is to use a single channel code to achieve both compression and protection. We replace the traditional syndrome-based SWC scheme by the parity-based one, where only parity bits of the Slepian-Wolf channel code are sent. If the amount of transmitted parity bits increases above the Slepian-Wolf limit, the added redundancy is exploited to cope against the noise in the transmission channel. Using irregular repeat-accumulate codes for practical parity-based SWC, we design a novel layered Wyner-Ziv video coder which is robust to channel failures and thus very suitable for wireless communications. Our simulation results show great advantages of the proposed solution based on JSCC compared to the traditional approach where source and channel coding are performed separately. (c) 2006 Elsevier B.V. All rights reserved.

关键词： distributed joint source-channel coding Slepian-Wolf coding Wyner-Ziv video coding irregular repeat-accumulate codes

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Compress-Forward coding With BPSK Modulation for the Half-Duplex Gaussian Relay channel

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2009年第11期57卷 4467-4481页

作者： Uppal, Momin Liu, Zhixin Stankovic, Vladimir Xiong, Zixiang Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA Univ Strathclyde Dept Elect & Elect Engn Glasgow G1 1XW Lanark Scotland

This paper studies compress- forward (CF) coding with BPSK modulation for the half-duplex Gaussian relay channel. In CF relaying, Wyner-Ziv coding is applied at the relay to exploit the joint statistics between signals at the relay and the destination. We propose Slepian-Wolf coded nested scalar quantization (SWCNSQ) for practical Wyner-Ziv coding at the relay. We first provide the achievable rate of SWCNSQ based CF relaying as a performance benchmark, and then present a practical code design using low-density parity-check (LDPC) codes for error protection at the source, and nested scalar quantization plus irregular-repeat accumulation (IRA) codes for CF coding at the relay. The degree distributions of the LDPC and IRA codes are optimized using extrinsic information transfer charts and Gaussian approximation. Under discretized density evolution for asymptotically large block lengths, our optimized code design operates 0.11-0.21 dB away from the SWCNSQ limit for CF relaying. Simulations with LDPC/IRA codes of length 2 X 10(5) show a performance gap of 0.27-0.38 dB from the achievable rate.

关键词： BPSK modulation compress-forward distributed joint source-channel coding relay channel Wyner-Ziv coding

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distributed coding for Multiple Access Communication with Side Information

Distributed Coding for Multiple Access Communication with Si...

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2006 IEEE Wireless Communications and Networking Conference (WCNC 2006), vol.4

作者： Virendra K. Varshneya Vinod Sharma Department of Electrical Communication Engineering Indian Institute of Science Bangalore India

关键词： Sensor networks Multiple access channel distributed joint source-channel coding

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joint source-channel Estimation Using Accumulated LDPC Syndrome

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IEEE COMMUNICATIONS LETTERS 2010年第11期14卷 1044-1046页

作者： Fang, Yong NW A&F Univ Coll Informat Engn Yangling 712100 Shaanxi Peoples R China

source correlation estimation is an important issue remained in Slepian-Wolf coding (SWC), while a counterpart issue in noisy transmission is channel noise estimation. This letter considers the transmission of SWC bitstream over a noisy channel. We show that it is possible to estimate both source correlation and channel noise using an accumulated Low-Density Parity-Check (LDPC) syndrome.

关键词： Slepian-Wolf coding distributed joint source-channel coding accumulated LDPC syndrome joint source-channel estimation

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A Task-Guided Normalized Min-Sum Decoding Network for LDPC Codes-Based DJSCC

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IEEE COMMUNICATIONS LETTERS 2023年第8期27卷 1934-1938页

作者： Yang, Jianhong Hong, Shaohua Wang, Lin Xiamen Univ Dept Informat & Commun Engn Xiamen 361005 Peoples R China Minist Nat Resources Key Lab Southeast Coast Marine Informat Intelligen Xiamen 361005 Peoples R China

distributed joint source-channel coding (DJSCC) refers to the correlated sources which are encoded separately and reconstructed in the centre node by joint decoding. Therefore, the challenging problem involves designing a simple and efficient decoding algorithm to utilize the correlations among distributed sources. In this letter, a multi-task deep learning decoder is proposed for the low-density parity-check (LDPC) code-based DJSCC system to improve the performance. This proposal is based on the shared neural normalized min-sum (SNNMS) decoding network and the log likelihood ratio (LLR) shared unit is added to further exploit the source correlation. Moreover, an adaptive multi-loss function is proposed to prevent the network tilting the balance in favor of one certain task. Simulation results indicate that the proposed decoder can achieve a significant performance improvement with almost the same complexity compared with the separated SNNMS decoders.

关键词： distributed joint source-channel coding low-density parity-check min-sum neural network

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Compression of a Markov source with Side Information at the Decoder Using Turbo Codes

Compression of a Markov Source with Side Information at the ...

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International Conference on Wireless Communications and Signal Processing

作者： Asadi, Behzad Lahouti, Farshad Valipour, Mehrdad Univ Tehran Sch ECE Wireless Multimedia Commun Lab Tehran 14174 Iran

ISBN: (纸本)9781424448562

In this paper, a turbo-based distributed joint source-channel coding scheme, for efficient compression and communication of two dependent sources with time memory over noisy channels, is presented. Specifically, we consider the asymmetric case for two binary sources, where one of the sources is available at the decoder as side information. The problem is of particular interest for low complexity compression and communication in data gathering sensor network and multimedia applications. Aiming at exploiting the spatial dependency of the sources, first, a distributed joint source-channel turbo (DJSCT) decoder is developed. Then, a novel decoding scheme is proposed, which benefits from both time memory and spatial dependency between samples of the sources. The proposed decoder is composed of two DJSCT constituent decoders and a maximum a-posteriori constituent decoder, which operate in an iterative manner. As the results validate, the proposed schemes provide effective solutions for compression and robust reconstruction of distributed dependent sources with time memory.

关键词： distributed joint source-channel coding turbo code Markov sequence

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Layered Wyner-Ziv video coding for transmission over unreliable channels

Layered Wyner-Ziv video coding for transmission over unrelia...

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Conference on Visual Communications and Image Processing 2005

作者： Xu, Q Stankovic, V Xiong, ZX Texas A&M Univ Dept Elect Engn College Stn TX 77843 USA

ISBN: (纸本)0819459763

Based on recent works on Wyner-Ziv coding (or lossy source coding with decoder side information), we consider the case with noisy channel and addresses distributed joint source-channel coding, while targeting at the important application of scalable video transmission over wireless networks. In Wyner-Ziv coding, after quantization, Slepian-Wolf coding (SWC) is used to reduce the rate. SWC is traditionally realized by sending syndromes of a linear channel code. Since syndromes of the channel code can only compress but cannot protect, for transmission over noisy channels, additional error protection is needed. However, instead of using one channel code for SWC and one for error protection, our idea is to use a single channel code to achieve both compression and protection. We replace the traditional syndrome-based SWC scheme by the parity-based one, where only parity bits of the Slepian-Wolf channel code are sent. If the amount of transmitted parity bits increases above the Slepian-Wolf limit, the added redundancy is exploited to cope against the noise in the transmission channel. Using IRA codes for practical parity-based SWC, we design a novel layered Wyner-Ziv video coder which is robust to channel failures and thus very suitable for wireless communications. Our simulation results show great advantages of the proposed solution based on joint source-channel coding compared to the traditional approach where source and channel coding are performed separately.

关键词： Wyner-Ziv coding Slepian-Wolf coding video distributed joint source-channel coding

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