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Rematch-and-Forward: joint source-channel coding for Parallel Relaying With Spectral Mismatch

IEEE TRANSACTIONS ON INFORMATION THEORY 2014年第1期60卷 605-622页

作者： Kochman, Yuval Khina, Anatoly Erez, Uri Zamir, Ram Hebrew Univ Jerusalem Sch Comp Sci & Engn IL-91904 Jerusalem Israel Tel Aviv Univ Dept Elect Engn IL-61392 Tel Aviv Israel

The Gaussian parallel relay network, introduced by Schein and Gallager, consists of a concatenation of a Gaussian additive broadcast channel from a single encoder to a layer of relays followed by a Gaussian multiple-access channel from the relays to the final destination (decoder), where all noises are independent. This setup exhibits an inherent conflict between digital and analog relaying;while analog relaying [known as amplify-and-forward (A&F)] suffers from noise accumulation, digital relaying (known as decode-and-forward) looses the potential coherence gain in combining the relay noises at the decoder. For a large number of relays, the coherence gain is large, and thus analog relaying has better performance;however, it is limited to white channels of equal bandwidth. In this paper, we present a generalization of the analog approach to the case of bandwidth mismatch. Our strategy, coined rematch and forward (R&F), is based upon applying joint source-channel coding techniques that belong to a certain class of maximally analog schemes. Using such techniques, R&F converts the bandwidth of the broadcast section to that of the multiple-access section, creating an equivalent matched-bandwidth network over which A&F is applied. It is shown that this strategy exploits the full bandwidth of the individual channels, without sacrificing the coherence gain offered by A&F. Specifically, for given individual-link capacities, R&F remains within a constant gap from the network capacity for any number of relays and any bandwidth ratio between the sections. Finally, the approach is extended to the case of colored channels.

关键词： Parallel relay network network capacity amplify-and-forward joint source-channel coding hybrid digital-analog transmission modulo-lattice modulation broadcast channel multiple access channel coherence gain bandwidth mismatch ISI channel

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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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Lossy joint source-channel coding for Energy Harvesting Communication Systems

Lossy Joint Source-Channel Coding for Energy Harvesting Comm...

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作者： Shahrbaf Motlagh, Meysam University of Waterloo

学位级别：master

In this work, we study the problem of lossy joint source-channel coding in an energy harvesting single-user communication systemwith causal energy arrivals, where the energy storage unit may have leakage. In particular, we investigate the achievable distortion in the transmission of a single source with arbitraryalphabets via an energy harvesting transmitter over a point-to-point channel. We first establish a lower bound on the achievable distortion. Then, to minimize the distortion we consider an adaptive joint source-channel coding scheme, where the length of channel codewords varies adaptively based on the available battery charge in each communication block. For this scheme, we obtain two coupled equations that determine the mismatch ratio between channel symbols and input symbols as well as the transmission power, both as functionsof battery charge. As examples of continuous and discrete sources, we consider Gaussian and binary sources. In particular, for the Gaussian case, we obtain a closed form expression for the mismatch factor in terms of the $Lambert W$ function, and show that an increasing transmission power results in a decreasing mismatch factor and vice versa. We also numerically show that when the mismatch factor adaptively changes based on the available charge in the battery, the communication system achieves a smaller distortion compared to that of a constant mismatch factor

关键词： joint source-channel coding Energy Harvesting Distortion Resource Allocation

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CV-Cast: Computer Vision-Oriented Linear coding and Transmission

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2025年第2期24卷 1149-1162页

作者： Zadnik, Jakub Kieffer, Michel Trioux, Anthony Makitalo, Markku Jaaskelainen, Pekka Tampere Univ Fac Informat Technol & Commun Sci Tampere 33100 Finland Univ Paris Saclay CNRS CentraleSupelec Lab Signaux & Syst F-91190 Gif Sur Yvette France Xidian Univ Sch Telecommun Engn Xian 710071 Peoples R China

Remote inference allows lightweight edge devices, such as autonomous drones, to perform vision tasks exceeding their computational, energy, or processing delay budget. In such applications, reliable transmission of information is challenging due to high variations of channel quality. Traditional approaches involving spatio-temporal transforms, quantization, and entropy coding followed by digital transmission may be affected by a sudden decrease in quality (the digital cliff) when the channel quality is less than expected during design. This problem can be addressed by using Linear coding and Transmission (LCT), a joint source and channel coding scheme relying on linear operators only, allowing to achieve reconstructed per-pixel error commensurate with the wireless channel quality. In this paper, we propose CV-Cast: the first LCT scheme optimized for computer vision task accuracy instead of per-pixel distortion. Using this approach, for instance at 10 dB channel signal-to-noise ratio, CV-Cast requires transmitting 28% less symbols than a baseline LCT scheme in semantic segmentation and 15% in object detection tasks. Simulations involving a realistic 5G channel model confirm the smooth decrease in accuracy achieved with CV-Cast, while images encoded by JPEG or learned image coding (LIC) and transmitted using classical schemes at low Eb/N0 are subject to digital cliff.

关键词： Computer vision goal-oriented communication joint source-channel coding linear coding and transmission

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The Rate-Distortion-Perception-Classification Tradeoff: joint source coding and Modulation via Inverse-Domain GANs

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2024年 72卷 3076-3090页

作者： Fang, Junli Mota, Joao F. C. Lu, Baoshan Zhang, Weicheng Hong, Xuemin Xiamen Univ Sch Informat Xiamen 361005 Peoples R China Heriot Watt Univ Sch Engn & Phys Sci Edinburgh EH14 4AS Scotland Guangxi Normal Univ Sch Elect & Informat Engn Guilin 541001 Peoples R China

The joint source-channel coding (JSCC) framework leverages deep learning to learn from data the best codes for source and channel coding. When the output signal, rather than being binary, is directly mapped onto the IQ domain (complex-valued), we call the resulting framework joint source coding and modulation (JSCM). We consider a JSCM scenario and show the existence of a strict tradeoff between channel rate, distortion, perception, and classification accuracy, a tradeoff that we name RDPC. We then propose two image compression methods to navigate that tradeoff: the RDPCO algorithm which, under simple assumptions, directly solves the optimization problem characterizing the tradeoff, and an algorithm based on an inverse-domain generative adversarial network (ID-GAN), which is more general and achieves extreme compression. Simulation results corroborate the theoretical findings, showing that both algorithms exhibit the RDPC tradeoff. They also demonstrate that the proposed ID-GAN algorithm effectively balances image distortion, perception, and classification accuracy, and significantly outperforms traditional separation-based methods and recent deep JSCM architectures in terms of one or more of these metrics.

关键词： Image coding source coding Modulation Measurement Signal processing algorithms Image reconstruction Distortion Image compression joint source-channel coding joint source coding and modulation generative adversarial networks rate-distortion-perception-classification tradeoff

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joint source-channel coding for Deep-Space Image Transmission using Rateless Codes

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IEEE TRANSACTIONS ON COMMUNICATIONS 2013年第8期61卷 3448-3461页

作者： Bursalioglu, O. Y. Caire, G. Divsalar, D. Docomo Innovat Inc Area Wireless Commun MIMO Tech & LTE A Enhancemen Palo Alto CA USA Univ So Calif Ming Hsieh Dept Elect Engn Viterbi Sch Engn Los Angeles CA USA CALTECH Jet Prop Lab Pasadena CA USA

A new coding scheme for image transmission over noisy channel is proposed. Similar to standard image compression, the scheme includes a linear transform followed by successive refinement scalar quantization. Unlike conventional schemes, though, in the proposed system the quantized transform coefficients are linearly mapped into channel symbols using systematic linear encoders. This fixed-to-fixed length "linear index coding" approach avoids the use of an explicit entropy coding stage (e.g., arithmetic or Huffman coding), which is typically fragile to channel post-decoding residual errors. We use linear codes over GF(4), which are particularly suited for this application, since they are matched to the dead-zone quantizer symbol alphabet and to the QPSK modulation used on the deep-space communication channel. We optimize the proposed system where the linear codes are systematic Raptor codes over GF(4). The rateless property of Raptor encoders allows to implement a "continuum" of coding rates, in order to accurately match the channel coding rate to the transmission channel capacity and to the quantized source entropy rate for each transform subband and refinement level. Comparisons are provided with respect to the concatenation of state-of-the-art image coding and channel coding schemes used by Jet Propulsion Laboratories (JPL) for the Mars Exploration Rover (MER) Mission.

关键词： joint source-channel coding deep-space communications image coding raptor codes

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Zero-Delay Hybrid Digital-Analog coding Under Energy Constraints

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IEEE COMMUNICATIONS LETTERS 2024年第2期28卷 263-267页

作者： Xu, Lu Chen, Xuechen Deng, Xiaoheng Cent South Univ Sch Comp Sci & Engn Changsha 410075 Peoples R China

This letter proposes a coding scheme for transmitting a Gaussian source with energy constraints in zero source delay scenario. While previous studies focused on the achievable minimum distortion with an infinite number of channel symbols, we also consider the robustness to finite symbols. The constructed scheme is based on the hybrid digital-analog (HDA) coding method, which encodes the quantized value of the source and the quantization error using a large number of channel symbols in total. Theoretical analysis reveals that our scheme achieves the optimal exponent and the same polynomial decay as in the existing work. Experimental results validate the performance gains of our scheme over the cutting-edge ones.

关键词： Hybrid digital-analog coding zero-delay energy-distortion tradeoff joint source-channel coding Gaussian channel

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Efficient coding for Computation Over Gaussian Multiple-Access channel With Noiseless/Noisy Feedback

Efficient Coding for Computation Over Gaussian Multiple-Acce...

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2024 Information Theory Workshop

作者： Yang, Yuhan Deng, Han Xu, Peng Dai, Bin Southwest Jiaotong Univ SWJTU Sch Informat Sci & Technol Chengdu 610031 Peoples R China Chongqing Key Lab Mobile Commun Technol Chongqing 400065 Peoples R China SWJTU Prov Key Lab Informat Coding & Transmiss Chengdu 611756 Peoples R China Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China

ISBN: (纸本)9798350348941;9798350348934

Reliably reconstructing a function of independent Gaussian sources over a white Gaussian multiple-access channel (GMAC) is reconsidered by exploring channel feedback. First, an efficient linear feedback scheme is proposed to compute arbitrary linear functions of sources over GMAC in the presence of noiseless feedback, which is based on a variation of the well-known Schalkwijk-Kailath type scheme. Next, we extend our proposed scheme to the noisy feedback case (the feedback channel is a white Gaussian channel) by introducing modulo lattice function and dither signal into the original scheme. Finally, the results of this paper are further explained by numerical examples, and it is shown that our proposed schemes outperform the existing ones in some cases.

关键词： channel feedback distributed computation Gaussian multiple-access channel joint source-channel coding Schalkwijk-Kailath scheme

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A Theory of Semantic Communication

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2024年第12期23卷 12211-12228页

作者： Shao, Yulin Cao, Qi Gunduz, Deniz Univ Macau Dept Elect & Comp Engn State Key Lab Internet Things Smart City Macau 999078 Peoples R China Xidian Univ Xidian Guangzhou Res Inst Xian 710126 Peoples R China Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

Semantic communication is an emerging research area that has gained a wide range of attention recently. Despite this growing interest, there remains a notable absence of a comprehensive and widely-accepted framework for characterizing semantic communication. This paper introduces a new conceptualization of semantic communication and formulates two fundamental problems, which we term language exploitation and language design. Our contention is that the challenge of language design can be effectively situated within the broader framework of joint source-channel coding theory, underpinned by a comprehensive end-to-end distortion metric. To tackle the language exploitation problem, we put forth three approaches: semantic encoding, semantic decoding, and a synergistic combination of both in the form of combined semantic encoding and decoding. Furthermore, we establish the semantic distortion-cost region as a critical framework for assessing the language exploitation problem. For each of the three proposed approaches, the achievable distortion-cost region is characterized. Overall, this paper aims to shed light on the intricate dynamics of semantic communication, paving the way for a deeper understanding of this evolving field.

关键词： Semantics Receivers Transmitters Decoding Symbols channel coding Distortion joint source-channel coding large language model semantic communication semantic decoding semantic encoding

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joint source-channel coding OF 3D VIDEO USING MULTI VIEW coding

JOINT SOURCE-CHANNEL CODING OF 3D VIDEO USING MULTI VIEW COD...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Vosoughi, Arash Testoni, Vanessa Cosman, Pamela Milstein, Laurence Univ Calif San Diego ECE San Diego CA 92103 USA

ISBN: (纸本)9781479903566

We consider the joint source-channel coding problem of a 3D video transmitted over an AWGN channel. The goal is to minimize the total number of bits, which is the sum of the number of source bits and the number of forward error correction bits, under two constraints: the quality of the primary view and the quality of the secondary view must be greater than or equal to a predetermined threshold at the receiver. The quality is measured in terms of the expected PSNR of an entire decoded group of pictures. A MVC (multiview coding) encoder is used as the source encoder, and rate compatible punctured turbo codes are utilized for protection of the encoded 3D video over the noisy channel. Equal error protection and unequal error protection are compared for various 3D video sequences and noise levels.

关键词： joint source-channel coding multiview video coding turbo codes unequal error protection

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