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Content Adaptive distributed joint source-channel coding for Image Transmission With Hyperprior

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING 2025年第1期11卷 105-117页

作者： Li, Yishen Chen, Xuechen Deng, Xiaoheng Gui, Jinsong Cent South Univ Sch Comp Sci & Engn Changsha 410083 Peoples R China Cent South Univ Sch Elect Informat Changsha 410083 Peoples R China

We study deep joint source-channel coding (JSCC) in a distributed dual-view scenario where the sources are correlated images and the channels are independent. The transmitters encode respective images and then send them to the same central receiver. In this situation, how to effectively use the correlation between sources to enhance the reconstruction quality is worth investigating. In existing deep JSCC studies, the information fusion strategy failed to effectively utilize the correlation between images from different perspectives at the receiver. In this paper, we propose an information fusion module based on multi-layer cross-attention mechanism to fuse image features at different pixel levels to make full use of the source correlation. In addition, while most previous studies allocated the same bandwidth to all images, which ignored the differences between images, we design a content adaptive variable-rate module based on the proposed entropy mask. We conduct experiments on KITTI and InStereo2K datasets and evaluate them using peak signal-to-noise ratio (PSNR) and multi-scale structural similarity index (MS-SSIM) metrics. The experimental results show that our proposed multi-layer information fusion module and entropy mask module can effectively improve the quality of reconstruction by about 1.0 dB PSNR compared to the state-of-the-art distributed JSCC.

关键词： distributed joint source-channel coding deep joint source-channel coding hyperprior content adaptive image transmission distributed joint source-channel coding deep joint source-channel coding hyperprior content adaptive image transmission

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distributed joint source-channel coding-Based Adaptive Dynamic Network coding

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IEEE ACCESS 2020年 8卷 86715-86731页

作者： Aljohani, Abdulah Jeza Ng, Soon Xin King Abdulaziz Univ Dept Elect & Comp Engn Jeddah 21589 Saudi Arabia King Abdulaziz Univ Ctr Excellence Intelligent Engn Syst Jeddah 21589 Saudi Arabia Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England

distributed source coding (DSC) schemes rely on separate encoding but joint decoding of statistically dependent sources, which exhibit correlation. More specifically, distributed joint source-channel coding (DJSC) is associated with the scenario, where the correlated source signals are transmitted through a noisy channel. On one hand, employing DSC or DJSC schemes exploits the existing correlation between sensors resulting in minimising the transmission energy required by the sources, while maintaining reliable communication. On the other hand, Network coding (NC) is an efficient data transport technique leveraging network efficiency, by allowing Relay Nodes (RNs) in a communication network to combine multiple data packets received via the incoming links before transmitting them to the Destination Node (DN). In this paper, the bandwidth -efficient distributed joint Turbo Trellis -Coded Modulation (DJTTCM) aided by both Dynamic Network coding (DNC) and Adaptive DNC (ADNC)-based cooperative transmission schemes are proposed. Both systems are proposed for supporting correlated source transmissions over hostile channels experiencing both small-scale and large-scale fading in which the RNs dynamically transmit its non -binary linear combinations to the DN. A substantial gain of 19.5 dB was attained at a correlation coefficient of rho = 0.8 over its counterpart dispensing with NC.

关键词： distributed source coding distributed joint source-channel coding dynamic network coding Slepian-wolf coding network coding joint channel-coding and network-coding joint channel-coding and network-coding

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distributed joint source-channel coding of video using Raptor codes

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2007年第4期25卷 851-861页

作者： Xu, Qian Stankovic, Vladimir Xiong, Zixiang Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77843 USA Univ Lancaster Dept Commun Syst Lancaster LA1 4WA England

Extending recent works on distributed source coding, this paper considers distributed source-channel coding and targets at the important application of scalable video transmission over wireless networks. The idea is to use a single channel code for both video coimpression (via Slepian-Wolf coding) and packet loss protection. First, we provide a theoretical code design framework for distributed joint source-channel coding over erasure channels and then apply it to the targeted video application. The resulting video coder is based on a cross-layer design where video compression and protection are performed jointly. We choose Raptor codes - the best approximation to a digital fountain - and address in detail both encoder and decoder designs. Using the received packets together with a correlated video available at the decoder as side information, we devise a new iterative soft-decision decoder for joint Raptor decoding. Simulation results show that, compared to one separate design using Slepian-Wolf compression plus erasure protection and another based on FGS coding plus erasure protection, the proposed joint design provides better video quality at the same number of transmitted packets. Our work represents the first in capitalizing the latest in distributed source coding and near-capacity channel coding for robust video transmission over erasure channels.

关键词： distributed joint source-channel coding Slepian-Wolf coding Wyner-Ziv video coding digital fountain Raptor codes FGS video coding

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distributed joint source-channel coding Using Low Density Parity Check Codes

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SENSOR LETTERS 2012年第8期10卷 1842-1846页

作者： Li, Zhibin Wang, Anhong Taiyuan Univ Sci & Technol Sch Elect Informat Engn Taiyuan 030024 Peoples R China

distributed source coding (DSC) is a new technology for source compression. In contrast with the traditional source compression methods, DSC achieves low-complexity encoding by transferring complex decorrelation process from the encoder to the decoder, so that it is suitable for friendly up-link serves of low-power devices such as mobile phones. This paper addresses the transmission of DSC bit stream and proposes two kinds of transmission systems, including distributed joint source-channel coding (DJSCC) and distributed separate source-channel coding (DSSCC). And LDPC (Low Density Parity Check) is used in these two systems for the simulation experiments which finally show that DJSCC outperforms DSSCC in practice.

关键词： distributed source coding distributed joint source-channel coding LDPC

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distributed joint source-channel coding in Wireless Sensor Networks

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SENSORS 2009年第6期9卷 4901-4917页

作者： Zhu, Xuqi Liu, Yu Zhang, Lin Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China

Considering the fact that sensors are energy-limited and the wireless channel conditions in wireless sensor networks, there is an urgent need for a low-complexity coding method with high compression ratio and noise-resisted features. This paper reviews the progress made in distributed joint source-channel coding which can address this issue. The main existing deployments, from the theory to practice, of distributed joint source-channel coding over the independent channels, the multiple access channels and the broadcast channels are introduced, respectively. To this end, we also present a practical scheme for compressing multiple correlated sources over the independent channels. The simulation results demonstrate the desired efficiency.

关键词： distributed joint source-channel coding wireless sensor networks multiple access channels broadcast channels information theory

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distributed joint source and channel coding with Low-Density Parity-Check Codes

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IEEE COMMUNICATIONS LETTERS 2013年第12期17卷 2336-2339页

作者： Cen, Feng Tongji Univ Dept Control Sci & Engn Shanghai 200092 Peoples R China

Low-density parity-check (LDPC) codes with the parity-based approach for distributed joint source channel coding (DJSCC) with decoder side information is described in this letter. The parity-based approach is theoretical limit achievable. Different edge degree distributions are used for source variable nodes and parity variable nodes. Particularly, the codeword-averaged density evolution (CADE) is presented for asymmetrically correlated nonuniform sources over the asymmetric memoryless transmission channel. Extensive simulations show that the splitting of variable nodes can improve the coding efficiency of suboptimal codes and lower the error floor.

关键词： distributed joint source-channel coding distributed source coding density evolution low-density parity-check codes nonuniform sources

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distributed joint source channel coding on a Multiple Access channel with Side Information

Distributed Joint Source Channel Coding on a Multiple Access...

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IEEE International Symposium on Information Theory

作者： Rajesh, R. Varshneya, V. K. Sharma, Vinod Indian Inst Sci Dept ECE Bangalore 560012 Karnataka India IBM India Res Lab Bangalore India

ISBN: (纸本)9781424422562

We consider the problem of transmission of several discrete sources over a multiple access channel (MAC) with side information at the sources and the decoder. source-channel separation does not hold for this channel. Sufficient conditions are provided for transmission of sources with a given distortion. The channel could have continuous alphabets (Gaussian MAC is a special case). Various previous results are obtained as special cases.

关键词： Multiple access channel Side information distributed joint source-channel coding

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distributed joint source-channel Polar coding

Distributed Joint Source-Channel Polar Coding

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IEEE International Symposium on Information Theory (ISIT)

作者： Dong, Yanfei Niu, Kai Dai, Jincheng Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing Peoples R China Peng Cheng Lab Dept Broadband Commun Shenzhen Peoples R China

ISBN: (纸本)9781665421607;9781665421591

In this paper, we propose a new class of distributed joint source-channel coding (DJSCC) methods, namely triple polar codes (T-PC), for transmitting a pair of correlated binary sources over noisy channels. In the T-PC structure, one source is protected by a systematic polar code (SPC), and the other source is encoded into a double polar code (D-PC) word. Following this, we prove the T-PC approaches the corner point of the achievable rate-region of DJSCC. We further propose a distributed joint source-channel decoding algorithm, which involves two components: a cyclic redundancy check (CRC) aided successive cancellation list (CA-SCL) decoding of the SPC and a joint successive cancellation list (J-SCL) decoding of the D-PC. The CA-SCL and J-SCL decoding procedures alternately generate hard-decisions of sources which are iteratively exchanged as the side information and result in superior performance compared with the state-of-the-art polar code based DJSCC scheme.

关键词： distributed joint source-channel coding triple polar codes systematic polar code double polar codes

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distributed IMAGE TRANSMISSION USING DEEP joint source-channel coding 47

DISTRIBUTED IMAGE TRANSMISSION USING DEEP JOINT SOURCE-CHANN...

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47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

作者： Wang, Sixian Yang, Ke Dai, Jincheng Niu, Kai Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China Peng Cheng Lab Shenzhen Peoples R China

ISBN: (纸本)9781665405409

We study the problem of deep joint source-channel coding (D-JSCC) for correlated image sources, where each source is transmitted through a noisy independent channel to the common receiver. In particular, we consider a pair of images captured by two cameras with probably overlapping fields of view transmitted over wireless channels and reconstructed in the center node. The challenging problem involves designing a practical code to utilize both source and channel correlations to improve transmission efficiency without additional transmission overhead. To tackle this, we need to consider the common information across two stereo images as well as the differences between two transmission channels. In this case, we propose a deep neural networks solution that includes lightweight edge encoders and a powerful center decoder. Besides, in the decoder, we propose a novel channel state information aware cross attention module to highlight the overlapping fields and leverage the relevance between two noisy feature *** results show the impressive improvement of reconstruction quality in both links by exploiting the noisy representations of the other link. Moreover, the proposed scheme shows competitive results compared to the separated schemes with capacity-achieving channel codes.

关键词： distributed joint source-channel coding deep neural networks wireless image transmission

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distributed source-channel coding Using Reduced-Complexity Syndrome-Based TTCM

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IEEE COMMUNICATIONS LETTERS 2016年第10期20卷 2095-2098页

作者： Aljohani, Abdullah Babar, Zunaira Ng, Soon Xin Hanzo, Lajos Univ Southampton Southampton SO17 1BJ Hants England

In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability p(e) of the binary symmetric channel, which models the correlation between a pair of sources. Our joint decoder achieves an accurate correlation estimation for varying correlation coefficients at 3 dB lower SNR, than conventional TTCM decoder, despite its considerable complexity reduction.

关键词： distributed joint source-channel coding Slepian-Wolf coding distributed source coding turbo trellis coded modulation syndrome decoding

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