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5th IEEE Conference on Industrial Electronics and Applications

作者： Li, Z. G. Yao, W. Xie, S. L. Rahardja, S. Inst Infocomm Res Signal Proc Dept Singapore 138632 Singapore

ISBN: (纸本)9781424450466

In this paper, we first propose an adaptation scheme at each source for adjusting send rates and channel code ratios of all flows at each source by using a joint source and channel coding based approach. Sufficient conditions are derived for formulating such a challenging problem as a convex optimization problem. A simple algorithm is provided to solve this problem. We then design a simple scheduling algorithm for transmitting packets from all flows at each link by using a weighted round robin based method. The proposed adaptation scheme at each source and the scheduling algorithm at each link form a framework for real time video applications over the Internet. With the proposed framework, Internet service providers (ISPs) have incentive to increase their capacities so that the Internet is more friendly to high bandwidth consuming applications such as real time video applications over the Internet.

关键词： joint source and channel coding Weighted Round Robin Congestion Price End-to-End Loose Admission Control

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AN ENHANCED V-BLAST MIMO SYSTEM USING joint source and channel coding

AN ENHANCED V-BLAST MIMO SYSTEM USING JOINT SOURCE AND CHANN...

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11th International Conference on Advanced Communication Technology

作者： Sari, Lydia Wibisono, Gunawan Gunawan, Dadang Univ Indonesia Dept Elect Engn Depok 16424 Indonesia

ISBN: (纸本)9788955191387

An enhanced Vertical Bell Laboratories Layered Space-Time (V-BLAST)-MIMO system complemented with joint source and channel coding scheme is proposed. The coding scheme is Rate Compatible Punctured Convolutional Code (RCPC Code) with Unequal Error Protection (UEP) to provide variable gain diversity with single encoder-decoder structure. The proposed system showed an ability to provide better error protection levels to data streams as the code rates decrease, and vice-versa. It is also shown that as the number of antennas increase, the overall system performance is further improved while the range of SNR covered is narrower, suggesting further bandwidth preservation.

关键词： MIMO system RCPC UEP joint source and channel coding

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Texture-Distortion-Constrained joint source-channel coding of Multi-View Video Plus Depth-Based 3D Video

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2019年第11期29卷 3326-3340页

作者： Gao, Pan Xiang, Wei Liang, Dong Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 211106 Jiangsu Peoples R China Trinity Coll Dublin Sch Comp Sci & Stat Dublin D02 PN40 2 Ireland James Cook Univ Coll Sci & Engn Cairns Qld 4870 Australia

A novel joint source and channel coding scheme tailored to 3D video is proposed in this paper to minimize the end-to-end view synthesis distortion within a given total bit rate for both texture and depth as well as a maximum tolerable distortion constraint for texture. First, we formulate a joint texture and depth coding mode selection strategy for error-resilient source coding of multi-view video plus depth-based 3D video through using the Lagrange multiplier method. Then, by considering the effect of residual errors after channel coding, we evolve to a more general formulation that jointly optimizes error-resilient source coding and channel coding in an integrated manner for unequal error protection between texture and depth, for which a theoretic solution using a proposed dual-trellis is derived. Finally, we extend the general formulation by including the texture distortion constraint. We show how to optimize the view synthesis quality while simultaneously catering to the texture quality constraint. Experimental results demonstrate the proposed algorithm has much better performance than existing related work.

关键词： joint source and channel coding joint texture and depth map coding texture distortion constraint 3D video transmission

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joint source-channel coding for 6G Communications

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China Communications 2022年第3期19卷 101-115页

作者： Yanfei Dong Jincheng Dai Kai Niu Sen Wang Yifei Yuan The Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China China Mobile Research Institute Beijing 100876China

In order to provide ultra low-latency and high energy-efficient communication for intelligences,the sixth generation(6G)wireless communication networks need to break out of the dilemma of the depleting gain of the separated optimization *** this context,this paper provides a comprehensive tutorial that overview how joint source-channel coding(JSCC)can be employed for improving overall system *** the purpose,we first introduce the communication requirements and performance metrics for ***,we provide an overview of the source-channel separation theorem and why it may not hold in practical *** addition,we focus on two new JSCC schemes called the double low-density parity-check(LDPC)codes and the double polar codes,respectively,giving their detailed coding and decoding processes and corresponding performance *** a nutshell,this paper constitutes a tutorial on the JSCC scheme tailored to the needs of future 6G communications.

关键词： 6G joint source and channel coding doubel LDPC codes doubel polar codes

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joint source AND channel TRELLIS coding OF LINE SPECTRUM PAIR PARAMETERS

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SPEECH COMMUNICATION 1992年第2-3期11卷 149-158页

作者： SECKER, P PERKIS, A NORWEGIAN INST TECHNOL DIV TELECOMMUN N-7034 TRONDHEIM NORWAY

An innovative method of coding Line Spectrum Pair (LSP) parameters for transmission over noisy channels is presented. Typically, low bit-rate speech coders use these parameters to convey perceptually important spectral information. Thus it is necessary that these parameters are not only efficiently quantized but preserved during transmission. The scheme uses a joint source and channel coding technique applied to a concatenated trellis structure. Operating as a source coder, the system encodes below the 1 dB spectral distortion limit. It is shown that by modifying the encoder cost function to include the expected channel distortion, the code exhibits improved robustness to channel errors. This is accomplished with minimal increase in complexity and without increase in bit-rate. It is noted that the scheme performs well over a wide range of channel bit error rates and compares favourably with a standard scalar LSP quantizer tandemed with a channel coder both in terms of bit-rate and channel noise immunity,

关键词： joint source and channel coding LINE SPECTRUM PAIR TRELLIS coding SPEECH coding

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On joint source-channel coding for Correlated sources Over Multiple-Access Relay channels

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IEEE TRANSACTIONS ON INFORMATION THEORY 2014年第10期60卷 6231-6253页

作者： Murin, Yonathan Dabora, Ron Guenduez, Deniz Ben Gurion Univ Negev Dept Elect & Comp Engn IL-84110 Beer Sheva Israel Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn London SW7 2AZ England

We study the transmission of correlated sources over discrete memoryless (DM) multiple-access-relay channels (MARCs), in which both the relay and the destination have access to side information arbitrarily correlated with the sources. As the optimal transmission scheme is an open problem, in this paper, we propose a new joint source-channel coding scheme based on a novel combination of the correlation preserving mapping (CPM) technique with Slepian-Wolf (SW) source coding, and obtain the corresponding sufficient conditions. The proposed coding scheme is based on the decode-and-forward strategy, and utilizes CPM for encoding information simultaneously to the relay and the destination, whereas the cooperation information from the relay is encoded via SW source coding. It is shown that there are cases in which the new scheme strictly outperforms the schemes available in the literature. This is the first instance of a source-channel code that uses CPM for encoding information to two different nodes (relay and destination). In addition to sufficient conditions, we present three different sets of single-letter necessary conditions for reliable transmission of correlated sources over DM MARCs. The newly derived conditions are shown to be at least as tight as the previously known necessary conditions.

关键词： Multiple-access relay channel joint source and channel coding correlation preserving mapping correlated sources side information decode-and-forward

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VQ-VAE Empowered Wireless Communication for joint source-channel coding and Beyond

VQ-VAE Empowered Wireless Communication for Joint Source-Cha...

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IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

作者： Nemati, Mahyar Park, Jihong Choi, Jinho Deakin Univ Sch Informat Technol Geelong Vic Australia

ISBN: (纸本)9798350310900

Vector Quantized Variational Autoencoder (VQ-VAE) has shown promise in representing diverse and complex data distributions in deep learning, making it a potential solution for various applications including wireless communications. In this paper, we propose a joint source-channel coding scheme based on VQ-VAE for point-to-point wireless communication. Our approach leverages the dependence of the encoder and decoder on a given dataset and channel conditions to develop efficient encoding and decoding schemes, leading to improved reliability and efficiency even in the presence of noisy wireless channels. We demonstrate the effectiveness of our proposed approach through extensive simulations in handling realistic wireless communication scenarios. In addition, we discuss potential connections to semantic communication and highlight the secure and energy-efficient nature of our approach.

关键词： joint source and channel coding Lossy Compression Noisy channels VQ-VAE

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Deep joint source-channel coding for Wireless Image Transmission with Entropy-Aware Adaptive Rate Control

Deep Joint Source-Channel Coding for Wireless Image Transmis...

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IEEE Conference on Global Communications (IEEE GLOBECOM) - Intelligent Communications for Shared Prosperity

作者： Chen, Weixuan Chen, Yuhao Yang, Qianqian Huang, Chongwen Wang, Qian Zhang, Zhaoyang Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou 310007 Peoples R China Zhejiang Univ Coll Control Sci & Engn Hangzhou 310007 Peoples R China Zhejiang Univ Technol Coll Informat Engn Hangzhou 310023 Peoples R China

ISBN: (纸本)9798350310900

Adaptive rate control for deep joint source and channel coding (JSCC) is considered as an effective approach to transmit sufficient information in scenarios with limited communication resources. We propose a deep JSCC scheme for wireless image transmission with entropy-aware adaptive rate control, using a single deep neural network to support multiple rates and automatically adjust the rate based on the feature maps of the input image and their entropy, as well as the channel conditions. In particular, we maximize the entropy of the feature maps to increase the average information carried by each transmitted symbol during the training. We further decide which feature maps should be activated based on their entropy, which improves the efficiency of the transmitted symbols. We also propose a pruning module to remove less important pixels in the activated feature maps in order to further improve transmission efficiency. The experimental results demonstrate that our proposed scheme learns an effective rate control strategy that reduces the required channel bandwidth while preserving the quality of the reconstructed images.

关键词： joint source and channel coding adaptive rate control

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joint source, channel, and Space-Time coding of Progressive Bitstream in MIMO channels

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IEEE TRANSACTIONS ON COMMUNICATIONS 2020年第4期68卷 2551-2565页

作者： Chang, Seok-Ho Shin, Meesue Kim, Sang-Hyo Konkuk Univ Seoul 05029 South Korea GS Caltex Corp Seoul 06141 South Korea Sungkyunkwan Univ Coll Informat & Commun Engn Suwon 16419 South Korea

The optimization of joint source and channel coding for a sequence of numerous progressive packets has been a challenging problem. Further, the problem becomes more complicated if the space-time coding is also involved with the optimization in a multiple-input multiple-output (MIMO) system. This is because the number of ways of jointly assigning channel codes and space-time codes to progressive packets is much larger than that of solely assigning channel codes to the packets. To our knowledge, there is no complete and feasible solution for the optimization of joint source, channel, and space-time coding of progressive packets. This paper applies a parametric approach to address such a highly nonlinear optimization problem in MIMO systems. We use the parametric methodology and derive some relevant properties, which are exploited to propose an efficient optimization method where the joint assignment of channel codes and space-time codes to the packets can be optimized in a packet-by-packet manner. As a result, the computational complexity of the proposed method linearly increases in the number of packets, whereas that of the exhaustive search exponentially increases in the number of packets. The numerical results show that the proposed method significantly improves the peak-signal-to-noise ratio performance of the conventional rate-based optimal solution in a MIMO system.

关键词： Space-time codes MIMO communication Multiplexing Optimization Modulation Encoding Streaming media Diagonal Bell Labs space time architecture (D-BLAST) joint source and channel coding multiple-input multiple-output (MIMO) optimization orthogonal space-time block codes (OSTBC) progressive source space-time codes vertical Bell Labs space-time architecture (V-BLAST)

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source-channel coding Theorems for the Multiple-Access Relay channel

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IEEE TRANSACTIONS ON INFORMATION THEORY 2013年第9期59卷 5446-5465页

作者： Murin, Yonathan Dabora, Ron Guenduez, Deniz Ben Gurion Univ Negev Dept Elect & Comp Engn IL-84105 Beer Sheva Israel Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn London SW7 2AZ England

We study reliable transmission of arbitrarily correlated sources over multiple-access relay channels (MARCs) and multiple-access broadcast relay channels (MABRCs). In MARCs only the destination is interested in reconstructing the sources, while in MABRCs, both the relay and the destination want to reconstruct them. In addition to arbitrary correlation among the source signals at the users, both the relay and the destination have side information correlated with the source signals. Our objective is to determine whether a given pair of sources can be losslessly transmitted to the destination for a given number of channel symbols per source sample, defined as the source-channel rate. Sufficient conditions for reliable communication based on operational separation, as well as necessary conditions on the achievable source-channel rates are characterized. Since operational separation is generally not optimal for MARCs and MABRCs, sufficient conditions for reliable communication using joint source-channel coding schemes based on a combination of the correlation preserving mapping technique with Slepian-Wolf source coding are also derived. For correlated sources transmitted over fading Gaussian MARCs and MABRCs, we present conditions under which separation (i.e., separate and stand-alone source and channel codes) is optimal. This is the first time optimality of separation is proved for MARCs and MABRCs.

关键词： Correlation preserving mapping (CPM) fading joint source and channel coding multiple-access relay channel (MARC) separation theorem Slepian-Wolf (SW) source coding

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