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Online Learning Meets Semantic Communication over Wireless channels

Online Learning Meets Semantic Communication over Wireless C...

41st IEEE Military Communications Conference (IEEE MILCOM) - Communications Supporting Military Operations in a Contested Environment

作者： Xu, Jiarui Saeed, Usama Ashdown, Jonathan Liu, Lingjia Virginia Tech Wireless Virginia Tech Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA US Air Force Informat Directorate Res Lab Washington DC USA

ISBN: (纸本)9798350321814

One major challenge for semantic communication networks is to deploy the network in practice where channel environments change dynamically. When adjusting the network weights on a subframe basis to the changing channel environments, the online over-the-air (OTA) training data is extremely limited, making it difficult for networks with a large number of learnable parameters to converge. In this paper, we present an online reservoir computing (RC) aided adaptation approach for the semantic joint source and channel coding (JSCC) network to adjust the network weights on a subframe basis according to the channel changes. Specifically, the semantic JSCC network is first trained offline to learn a set of the initial weights with sufficient training data. During the online stage, where the channel model differs from the offline stage and the OTA training data is scarce, RC is adopted for equalizing the channel and adapting the end-to-end network weights to the change of channel. Experimental results demonstrate the effectiveness of the introduced approach in improving the performance of the semantic JSCC network on a subframe basis when the channel models do not match during the offline and online stages. Our work provides a potential solution for deploying semantic communication networks in practice in dynamic channel environments with a limited amount of available training data.

关键词： Online learning online adaptation semantic communication reservoir computing joint source and channel coding and limited training data

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WITT: A Wireless Image Transmission Transformer for Semantic Communications 48

WITT: A Wireless Image Transmission Transformer for Semantic...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Yang, Ke Wang, Sixian Dai, Jincheng Tan, Kailin Niu, Kai Zhang, Ping Beijing University of Posts and Telecommunications Beijing China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9781728163277

In this paper, we aim to redesign the vision Transformer (ViT) as a new backbone to realize semantic image transmission, termed wireless image transmission transformer (WITT). Previous works build upon convolutional neural networks (CNNs), which are inefficient in capturing global dependencies, resulting in degraded end-to-end transmission performance especially for high-resolution images. To tackle this, the proposed WITT employs Swin Transformers as a more capable backbone to extract long-range information. Different from ViTs in image classification tasks, WITT is highly optimized for image transmission while considering the effect of the wireless channel. Specifically, we propose a spatial modulation module to scale the latent representations according to channel state information, which enhances the ability of a single model to deal with various channel conditions. As a result, extensive experiments verify that our WITT attains better performance for different image resolutions, distortion metrics, and channel conditions. The code is available at https://***/KeYang8/WITT. © 2023 IEEE.

关键词： joint source and channel coding vision Transformer wireless image transmission

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Probabilistic Shaping for Protograph LDPC-Coded Modulation by Residual source Redundancy

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IEEE TRANSACTIONS ON COMMUNICATIONS 2021年第7期69卷 4267-4281页

作者： Chen, Chen Chen, Qiwang Wang, Lin He, Yu-Cheng Chen, Yifan Huaqiao Univ Sch Informat Sci & Engn Xiamen Key Lab Mobile Multimedia Commun Xiamen 361021 Peoples R China Xiamen Univ Dept Commun Engn Xiamen 361005 Peoples R China Univ Waikato Sch Engn Hamilton 3216 New Zealand

Probabilistic amplitude shaping (PAS) has proved to be a promising way to achieve the shaping gain for an additive white Gaussian noise channel with a distribution matcher (DM). However, the DM schemes may suffer a rate loss and increase both complexity and latency, when they are not suited for the input bit stream with redundancy. In this paper, a novel PAS strategy is proposed for a joint source and channel coded modulation system, where the residual source redundancy after source coding can be exploited to obtain both shaping and coding gains. It is shown that the residual source redundancy can be controlled by choosing the row weight distribution for source code, thus making the probability distribution of the modulated symbols be optimized under an appropriate interleaver design. To guarantee the error-floor performance, the source code is constrained by predicting the probability distribution of source bits within target finite-length frames. By jointly designing source and channel codes, the residual source redundancy can also be exploited to achieve the coding gain. Compared with the state-ofthe-art code pairs, the proposed code pairs have better error-floor performance, and achieve higher coding and shaping gains without suffering from the rate-loss and the latency caused by DM.

关键词： Coded modulation joint source and channel coding probabilistic amplitude shaping protograph LDPC codes residual source redundancy

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Lossy coding of Correlated sources Over a Multiple Access channel: Necessary Conditions and Separation Results

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IEEE TRANSACTIONS ON INFORMATION THEORY 2018年第9期64卷 6081-6097页

作者： Guler, Basak Gunduz, Deniz Yener, Aylin Penn State Univ Dept Elect Engn University Pk PA 16802 USA Univ Southern Calif Dept Elect Engn Los Angeles CA 90089 USA Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England

Lossy coding of correlated sources over a multiple access channel (MAC) is studied. First, a joint source-channel coding scheme is presented when the decoder has correlated side information. Next, the optimality of separate source and channel coding that emerges from the availability of a common observation at the encoders or side information at the encoders and the decoder is investigated. It is shown that separation is optimal when the encoders have access to a common observation whose lossless recovery is required at the decoder, and the two sources are independent conditioned on this common observation. Optimality of separation is also proved when the encoder and the decoder have access to shared side information conditioned on which the two sources are independent. These separation results obtained in the presence of side information are then utilized to provide a set of necessary conditions for the transmission of correlated sources over a MAC without side information. Finally, by specializing the obtained necessary conditions to the transmission of binary and Gaussian sources over a MAC, it is shown that they can potentially be tighter than the existing results in the literature, providing a novel converse for this fundamental problem.

关键词： Common information conditional independence hybrid coding joint source and channel coding multiple access channel rate-distortion theory separation theorem

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OPTIMAL MODE SELECTION AND channel coding FOR 3-D VIDEO STREAMING OVER THE INTERNET

OPTIMAL MODE SELECTION AND CHANNEL CODING FOR 3-D VIDEO STRE...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Gao, Pan Xiang, Wei Wang, Bing Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing Jiangsu Peoples R China James Cook Univ Coll Sci & Engn Townsville Qld Australia Southwest Jiaotong Univ Sch Informat Sci & Technol Chengdu Sichuan Peoples R China

ISBN: (纸本)9781538605608

This paper addresses the problem of joint source and channel coding for 3-D video coding and transmission. Firstly, we formulate a packet-level joint texture and depth coding mode selection framework for error-resilient source coding using Lagrange multiplier. Then, we evolve to the more general formulation that jointly optimizes error-resilient source coding and channel coding for texture and depth with unequal error protection. Finally, based on the adjacent packet dependency, we derive a theoretic approach to efficiently find the optimal solution. The proposed algorithm explicitly considers the interaction between error-resilient source coding and channel coding tailored to 3-D video, and the different sensitivities of the view synthesis quality to texture distortion and depth distortion. Experimental results are presented for a wide range of packet loss rates in order to illustrate the benefit of the proposed 3-D video coding framework.

关键词： Mode selection channel coding joint source and channel coding 3-D video

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Price Based joint source and channel coding for Real Time Video Applications Over the Internet with Flow Rate Management

Price Based Joint Source and Channel Coding for Real Time Vi...

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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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joint source and channel coding using punctured ring convolutional coded CPM

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IEEE TRANSACTIONS ON COMMUNICATIONS 2008年第5期56卷 712-723页

作者： Lin, Zihuai Aulin, Tor Chalmers Univ Technol Dept Comp Sci & Engn SE-41296 Gothenburg Sweden

In this paper, a novel trellis source encoding scheme based on punctured ring convolutional codes is presented. joint source and channel coding (JSCC) using trellis coded Continuous Phase Modulation (CPM) with punctured convolutional codes over rings is investigated. The channels considered are the Additive White Gaussian Noise (AWGN) channel and the Rayleigh fading channel. Optimal soft decoding for the proposed JSCC scheme is studied. The soft decoder is based on the A Posteriori Probability (APP) algorithm for trellis coded CPM with punctured ring convolutional codes. It is shown that these systems with soft decoding outperform the same systems with hard decoding especially when the systems operate at low to medium Signal-to-Noise Ratio (SNR). Furthermore adaptive JSCC approaches based on the proposed source coding scheme are investigated. Compared with JSCC schemes with fixed source coding rates, the proposed adaptive approaches can achieve much better performance in the high SNR region. The novelties of this work are the development of a trellis source encoding method based on punctured ring convolutional codes, the use of a soft decoder, the APP algorithm for the combined systems and the adaptive approaches to the JSCC problem.

关键词： joint source and channel coding punctured ring TCQ combined punctured ring TCQ/CPM punctured ring convolutional coded CPM soft decoding

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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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On the performance and complexity of Irregular Variable Length Codes for near-capacity joint source and channel coding

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2008年第4期7卷 1338-1347页

作者： Maunder, R. G. Wang, J. Ng, S. X. Yang, L. -L. Hanzo, L. Univ Southampton Sch Elect & Comp Sci Southampton SO9 5NH Hants England

In this paper we propose a novel Irregular Variable Length coding (IrVLC) scheme for near-capacity joint source and channel coding. We employ a number of component Variable Length coding (VLC) codebooks having different coding rates for encoding particular fractions of the input source symbol stream. These fractions may be chosen with the aid of EXtrinsic Information Transfer (EXIT) charts in order to shape the inverted EXIT curve of the IrVLC codec for ensuring that it does not cross the EXIT curve of a serially concatenated channel codec. In this way, an open EXIT chart tunnel may be created even at low E-b/N-0 values that are close to the capacity bound of the channel. We propose iteratively decoded serially concatenated IrVLC designs amalgamated with Trellis Coded Modulation (TCM). These schemes are shown to be capable of operating within 0.6 dB of the uncorrelated narrowband Rayleigh fading channel's capacity bound using an average interleaver length of 217,500 bits and an effective bandwidth efficiency of 1.56 bit/s/Hz, assuming ideal Nyquist filtering. By contrast, the equivalent-rate regular VLC-based bench-marker schemes were found to be capable of operating at a higher distance of 1.1 dB from the capacity bound, which is nearly twice that of the proposed IrVLC-TCM scheme. Additionally, an Irregular Convolutional coding (IrCC) based bench-marker was found to be capable of operating at 0.8 dB from the capacity bound, owing to its slightly eroded performance when operating with the considered interleaver length.

关键词： variable length codes joint source and channel coding trellis codes information rates

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