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Distributed joint source-channel coding Using Unequal Error Protection LDPC Codes

IEEE TRANSACTIONS ON COMMUNICATIONS 2013年第8期61卷 3472-3482页

作者： Shahid, Iqbal Yahampath, Pradeepa Univ Manitoba Dept Elect & Comp Engn Winnipeg MB R3T 2N2 Canada

This paper presents a general approach to designing distributed joint source channel (DJSC) codes with arbitrary rates for communication of a pair of correlated binary sources over noisy channels. In this approach, both distributed compression and channel error correction are simultaneously achieved by transmitting, for each source, a fraction of the information bits together with the parity bits of a systematic channel code. This approach is shown to be asymptotically optimal, i.e., any rate-pair in the achievable rate-region can be approached as the codeword length is increased. The practical realization of such a code requi res the design of a pair of channel codes with unequal error protection (UEP) properties determined by the inter-source correlation and the channel capacity available to each source. Towards this end, a linear programming based procedure for jointly optimizing the degree profiles of a pair of irregular LDPC codes to achieve the required UEP properties is presented. Experimental results obtained with both binary symmetric channels and binary-input Gaussian channels are presented, which demonstrate that the proposed UEP-DJSC codes can significantly outperform separate source-channel codes, as well as previously reported joint source-channel coding schemes, particularly for short codeword lengths.

关键词： Distributed source coding joint source-channel coding LDPC codes unequal error protection belief-propagation EXIT-chart analysis

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A joint source-channel coding approach to digital image self-recovery

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SIGNAL IMAGE AND VIDEO PROCESSING 2017年第7期11卷 1371-1378页

作者： Sarreshtedari, Saeed Abbasfar, Aliazam Akhaee, Mohammad Ali Univ Tehran Dept Elect & Comp Engn Coll Engn Tehran *** Iran

The aim of the digital image self-embedding methods is to restore the content of a tampered image as much as possible. In this article, a joint source-channel coding solution is presented to solve this problem, in which an image compression algorithm is applied to generate a representation of the original image. The preserved information of the original image is used to produce hash bits that help the receiver to find the tampered area. Having the location of tampering known, it can be modeled as an erasure channel. Therefore, a channel coding phase is added to protect the image representation. The limited watermarking bit-budget will be optimally dedicated to the source and channel code bits based on the results derived by solving a dynamic programming optimization problem. It is shown in the experimental results that including this optimization stage results in the superiority of the proposed scheme to the similar state-of-the-art methods who lack such optimization.

关键词： Image tampering protection Self-recovery joint source-channel coding

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On Lossy joint source-channel coding in Energy Harvesting Communication Systems

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IEEE TRANSACTIONS ON COMMUNICATIONS 2015年第11期63卷 4433-4447页

作者： Motlagh, Meysam Shahrbaf Khuzani, Masoud Badiei Mitran, Patrick Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada Harvard Univ Sch Engn & Appl Sci Cambridge MA 02138 USA

We study the problem of lossy joint source-channel coding in a single-user energy harvesting communication system with causal energy arrivals and the energy storage unit may have leakage. In particular, we investigate the achievable distortion in the transmission of a single source via an energy harvesting transmitter over a point-to-point channel. We consider an adaptive joint source-channel coding system, where the length of channel codewords varies based on the available battery charge. We first establish a lower bound on the achievable distortion. Then, as necessary conditions for local optimality, we obtain two coupled equations that determine the mismatch ratio between channel symbols and source symbols as well as the transmission power, both as functions of the battery charge. As examples of continuous and discrete sources, we consider Gaussian and binary sources respectively. For the Gaussian case, we obtain a closed-form expression for the mismatch factor in terms of the LambertW function, and show that an increasing transmission power policy results in a decreasing mismatch factor policy and vice versa. Finally, we numerically compare the performance of the adaptive mismatch factor scheme to the case of a constant mismatch factor.

关键词： joint source-channel coding energy harvesting distortion resource allocation

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Universal zero-delay joint source-channel coding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2006年第12期52卷 5240-5250页

作者： Matloub, Shahriyar Weissman, Tsachy Stanford Univ Dept Elect Engn Stanford CA 94305 USA

We consider zero-delay joint source-channel coding of individual source sequences for a general known channel. Given an arbitrary finite set of schemes with finite-memory (not necessarily time-invariant) decoders, a scheme is devised that does essentially as well as the best in the set on all individual source sequences. Using this scheme, we construct a universal zero-delay joint source-channel coding scheme that is guaranteed to achieve, asymptotically, the performance of the best zero-delay encoding-decoding scheme with a finite-state encoder and a Markov decoder, on all individual sequences. For the case where the channel is a discrete memoryless channel (DMC), we construct an implementable zero-delay joint source-channel coding scheme that is based on the "follow the perturbed leader" scheme of Gyorgy et al. for lossy source coding of individual sequences. Our scheme is guaranteed to attain asymptotically the performance of the best in the set of all encoding-decoding schemes with a "symbol-by-symbol" decoder (and arbitrary encoder), on all individual sequences'.

关键词： discrete memoryless channel (DMC) finite-state encoder/decoder individual sequences joint source-channel coding Markov encoder/decoder zero-delay schemes

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Zero-Delay joint source-channel coding Using Hybrid Digital-Analog Schemes in the Wyner-Ziv Setting

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IEEE TRANSACTIONS ON COMMUNICATIONS 2014年第2期62卷 726-735页

作者： Chen, Xuechen Tuncel, Ertem Univ Calif Riverside Dept Elect Engn Riverside CA 92521 USA

This paper studies zero-delay joint source-channel coding (JSCC) of Gaussian sources over additive white Gaussian noise (AWGN) channels in the Wyner-Ziv scenario, that is, when there is side information about the source available only to the receiver. The proposed encoding scheme is based on hybrid digital-analog (HDA) transmission in a zero-delay fashion. Specifically, to achieve zero-delay, after applying scalar quantization to the source, the properly scaled analog information (quantization error) is superimposed on the scaled digital information (quantized source), and then transmitted. At the receiver side, several reconstruction schemes are analyzed. It is shown that all the schemes, when optimized, are superior to existing uncoded, digital, or hybrid transmission methods. It is also shown that the proposed HDA transmission may result in increased robustness to channel and/or side information mismatch compared to uncoded transmission. Observing that the bandwidth-matched Wyner-Ziv problem is intimately related to the coding scenario without side information but with bandwidth expansion factor 2, the proposed scheme is applied to the latter problem. It is shown that this application results in a better performance than the well-known inverse spiral mapping.

关键词： Hybrid digital-analog coding joint source-channel coding zero-delay Wyner-Ziv coding

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joint source-channel coding and optimization for mobile video streaming in heterogeneous wireless networks

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2013年第1期2013卷 1页

作者： Wu, Jiyan Shang, Yanlei Huang, Jun Zhang, Xue Cheng, Bo Chen, Junliang Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China

This paper investigates mobile video delivery in a heterogeneous wireless network from a video server to a multi-homed client. joint source-channel coding (JSCC) has proven to be an effective solution for video transmission over bandwidth-limited, error-prone wireless networks. However, one major problem with the existing JSCC approaches is that they consider the network between the server and the client as a single transport link. The situation becomes more complicated in the context of multiple available links because involving a low-bandwidth, highly lossy, or long-delay wireless network in the transmission will only degrade the video quality. To address the critical problem, we propose a novel flow rate allocation-based JSCC (FRA-JSCC) approach that includes three key phases: (1) forward error correction redundancy estimation under loss requirement, (2) source rate adaption under delay constraint, and (3) dynamic rate allocation to minimize end-to-end video distortion. We present a mathematical formulation of JSCC to optimize video quality over multiple wireless channels and provide comprehensive analysis for channel distortion. We evaluate the performance of FRA-JSCC through emulations in Exata and compare it with the existing schemes. Experimental results show that FRA-JSCC outperforms the competing models in improving the video peak signal-to-noise ratio as well as in reducing the end-to-end delay.

关键词： Mobile video streaming Heterogeneous wireless networks Multi-homing joint source-channel coding Flow rate allocation

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Communicating Correlated sources Over MAC and Interference channels II: joint source-channel coding

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IEEE TRANSACTIONS ON INFORMATION THEORY 2021年第6期67卷 3847-3872页

作者： Padakandla, Arun Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA

We present the second part of our work on communicating correlated sources over multiple access (MAC) and interference channels (IC). Specifically, we undertake a Shannon-theoretic study of the above scenarios and focus on characterizing sufficient conditions for lossless recoverability of the sources at the decoder(s). We enhance the fixed block-length (B-L) coding technique by incorporating the technique of inducing source correlation onto channel inputs, originally discovered by Cover, El Gamal and Salehi. In contrast to the first part, performance analysis of a joint source-channel decoder poses new challenges. We enhance the earlier developed suite of coding and analytical tools to overcome these challenges and derive (simplified) single-letter characterizations for a new set of sufficient conditions for both scenarios. For both the MAC and IC problems, the derived sufficient conditions are (i) subsumed in the current known tightest, and (ii) strictly weaker for identified examples. Lastly, we propose simple 'plug-in' approaches that can further weaken the derived sufficient conditions. Our findings enable us to subsume Dueck's findings (1981) and go even further for the example considered therein.

关键词： Encoding channel coding Integrated circuits Task analysis Correlation Interference channels Tools Shannon theory joint source-channel coding inner bound achievability sufficient conditions correlated sources constant composition codes

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Zero-Delay joint source-channel coding in the Presence of Interference Known at the Encoder

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IEEE TRANSACTIONS ON COMMUNICATIONS 2016年第8期64卷 3311-3322页

作者： Varasteh, Morteza Gunduz, Deniz Tuncel, Ertem Imperial Coll London Dept Elect & Elect Engn London SW7 2BZ England Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

Zero-delay transmission of a Gaussian source over an additive white Gaussian noise (AWGN) channel is considered in the presence of an independent additive Gaussian interference signal. The mean squared error (MSE) distortion is minimized under an average power constraint assuming that the interference signal is known at the transmitter. Optimality of simple linear transmission does not hold in this setting due to the presence of the known interference signal. While the optimal encoder-decoder pair remains an open problem, various non-linear transmission schemes are proposed in this paper. In particular, interference concentration (ICO) and one-dimensional lattice (1DL) strategies, using both uniform and non-uniform quantization of the interference signal, are studied. It is shown that, in contrast to typical scalar quantization of Gaussian sources, a non-uniform quantizer, whose quantization intervals become smaller as we go further from zero, improves the performance. Given that the optimal decoder is the minimum MSE (MMSE) estimator, a necessary condition for the optimality of the encoder is derived, and the numerically optimized encoder (NOE) satisfying this condition is obtained. Based on the numerical results, it is shown that 1DL with non-uniform quantization performs closer (compared with the other schemes) to the NOE while requiring significantly lower complexity.

关键词： Interference concentration joint source-channel coding Lattice coding Zero-delay transmission

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SNR-adaptive deep joint source-channel coding scheme for image semantic transmission with convolutional block attention module

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The Journal of China Universities of Posts and Telecommunications 2024年第1期31卷 1-11页

作者： Yang Yujia Liu Yiming Zhang Wenjia Zhang Zhi State Key Laboratory of Networking and Switch Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

With the development of deep learning(DL),joint source-channel coding(JSCC)solutions for end-to-end transmission have gained a lot of *** deep JSCC schemes support dynamically adjusting the rate according to different channel conditions during transmission,enhancing robustness in dynamic wireless ***,most of the existing adaptive JSCC schemes only consider different channel conditions,ignoring the different feature importance in the image processing and *** uniform compression of different features in the image may result in the compromise of critical image details,particularly in low signal-to-noise ratio(SNR)*** address the above issues,in this paper,a dual attention mechanism is introduced and an SNR-adaptive deep JSCC mechanism with a convolutional block attention module(CBAM)is proposed,in which matrix operations are applied to features in spatial and channel dimensions *** proposed solution concatenates the pooling feature with the SNR level and passes it sequentially through the channel attention network and spatial attention network to obtain the importance evaluation *** show that the proposed solution outperforms other baseline schemes in terms of peak SNR(PSNR)and structural similarity(SSIM),particularly in low SNR scenarios or when dealing with complex image content.

关键词： semantic communication joint source-channel coding image transmission

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Combined hidden Markov source estimation and low-density parity-check coding: a novel joint source-channel coding scheme for multimedia communications

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WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2002年第6期2卷 643-650页

作者： Yin, LG Lu, JH Wu, YS Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

joint source-channel coding schemes have been proven to be very effective for reliable multimedia communications. In this paper, we develop a joint source-channel coding scheme that combines the hidden Markov source (HMS) estimation and the low-density parity-check (LDPC) codes with an iterative estimation/decoding scheme. With this innovative combination, multimedia source redundancy Could be accurately extracted by the hidden Markov estimation without any a priori information about the source. Moreover, the interleaver that is usually used to separate the source coding and channel coding can be avoided by exploiting the randomizing property of the LDPC codes. Furthermore, the channel decoding procedure may be implemented in parallel, resulting in good performance with a fairly low decoding complexity and delay. Simulation results have shown that the proposed scheme can achieve much better performance than the standard coding scheme over the binary input additive white Gaussian noise (BIAWGN) channels. Copyright (C) 2002 John Wiley Sons, Ltd.

关键词： joint source-channel coding hidden Markov source (HMS) estimation low-density parity-check (LDPC) codes multimedia communications

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