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IEEE TRANSACTIONS ON INFORMATION THEORY 2014年第12期60卷 7473-7489页

作者： Akyol, Emrah Viswanatha, Kumar B. Rose, Kenneth Ramstad, Tor A. Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA Norwegian Univ Sci & Technol Dept Elect & Telecommun N-7491 Trondheim Norway

This paper studies the zero-delay source-channel coding problem, and specifically the problem of obtaining the vector transformations that optimally map between the m-dimensional source space and k-dimensional channel space, under a given transmission power constraint and for the mean square error distortion. The functional properties of the cost are studied and the necessary conditions for the optimality of the encoder and decoder mappings are derived. An optimization algorithm that imposes these conditions iteratively, in conjunction with the noisy channel relaxation method to mitigate poor local minima, is proposed. The numerical results show strict improvement over prior methods. The numerical approach is extended to the scenario of source-channel coding with decoder side information. The resulting encoding mappings are shown to be continuous relatives of, and in fact subsume as special case, the Wyner-Ziv mappings encountered in digital distributed source coding systems. A well-known result in information theory pertains to the linearity of optimal encoding and decoding mappings in the scalar Gaussian source and channel setting, at all channel signal-to-noise ratios (CSNRs). In this paper, the linearity of optimal coding, beyond the Gaussian source and channel, is considered and the necessary and sufficient condition for linearity of optimal mappings, given a noise (or source) distribution, and a specified a total power constraint are derived. It is shown that the Gaussian source-channel pair is unique in the sense that it is the only source-channel pair for which the optimal mappings are linear at more than one CSNR values. Moreover, the asymptotic linearity of optimal mappings is shown for low CSNR if the channel is Gaussian regardless of the source and, at the other extreme, for high CSNR if the source is Gaussian, regardless of the channel. The extension to the vector settings is also considered where besides the conditions inherited from the scalar case, a

关键词： joint source channel coding analog communications estimation distributed coding

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Deterministic Annealing-Based Optimization for Zero-Delay source-channel coding in Networks

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IEEE TRANSACTIONS ON COMMUNICATIONS 2015年第12期63卷 5089-5100页

作者： Mehmetoglu, Mustafa Said Akyol, Emrah Rose, Kenneth Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA

This paper studies the problem of global optimization of zero-delay source-channel codes that map between the source space and the channel space, under a given transmission power constraint and for the mean-square-error distortion. Particularly, we focus on two well-known network settings: the Wyner-Ziv setting where only a decoder has access to side information and the distributed setting where independent encoders transmit over independent channels to a central decoder. Prior work derived the necessary conditions for optimality of the encoder and decoder mappings, along with a greedy optimization algorithm that imposes these conditions iteratively, in conjunction with the heuristic noisy channel relaxation method to mitigate poor local minima. While noisy channel relaxation is arguably effective in simple settings, it fails to provide accurate global optimization in more complicated settings considered in this paper. We propose a powerful nonconvex optimization method based on the concept of deterministic annealing-which is derived from information theoretic principles and was successfully employed in several problems including vector quantization, classification, and regression. We present comparative numerical results that show strict superiority of the proposed method over greedy optimization methods as well as prior approaches in literature.

关键词： joint source channel coding deterministic annealing estimation distributed coding

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Zero-Delay source-channel coding With a 1-Bit ADC Front End and Correlated Receiver Side Information

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IEEE TRANSACTIONS ON COMMUNICATIONS 2017年第12期65卷 5429-5444页

作者： Varasteh, Morteza Rassouli, Borzoo Simeone, Osvaldo Gunduz, Deniz Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England Kings Coll London Dept Informat London WC2R 2LS England

Zero-delay transmission of a Gaussian source over an additive white Gaussian noise (AWGN) channel is considered with a 1-bit analog-to-digital converter (ADC) front end and correlated side information at the receiver. The design of the optimal encoder and decoder is studied for two different performance criteria, namely the mean squared error (MSE) distortion and the distortion outage probability (DOP), under an average power constraint on the channel input. For both criteria, necessary optimality conditions for the encoder and the decoder are derived, which are then used to numerically obtain encoder and decoder mappings that satisfy these conditions. Using these conditions, it is observed that the numerically optimized encoder (NOE) under the MSE distortion criterion is periodic, and its period increases with the correlation between the source and the receiver side information. For the DOP, it is instead seen that the NOE mappings periodically acquire positive and negative values, which decay to zero with increasing source magnitude, and the interval over which the mapping takes non-zero values becomes wider with the correlation between the source and the side information. Finally, inspired by the mentioned properties of the NOE mappings, parameterized encoder mappings with a small number of degrees of freedom are proposed for both distortion criteria, and their performance is compared with that of the NOE mappings.

关键词： joint source channel coding zero-delay transmission mean squared error distortion distortion outage probability 1-bit ADC correlated side information

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TTCM-Assisted Distributed source-channel coding for Nakagami-m Fading channels 80

TTCM-Assisted Distributed Source-Channel Coding for Nakagami...

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80th IEEE Vehicular Technology Conference (VTC Fall)

作者： Aljohani, Abdulah Jeza Ng, Soon Xin Hanzo, Lajos Univ Southampton Commun Signal Proc & Control Res Grp Southampton SO17 1BJ Hants England

ISBN: (纸本)9781479944491

Asymmetric Distributed source-channel coding (DSC) is considered, where a pair of correlated sources are transmitting to a central node. The distributed scheme is based on Turbo Trellis Coded Modulation (TTCM), where the first source will be channel encoded and then compressed before it is sent over Nakagami-m fading channels. The second source signal, however, is assumed to be available flawlessly at the destination for exploitation as side information for improving the decoding performance of the first source. A wide range of fading scenarios were considered, where reliable communications approaching the SlepianWolf Shannon (SW/S) limit were exhibited. Finally, the scheme is capable of adapting to the time-variant short-term correlation between the two sources.

关键词： DSC Slepian-Wolf coding joint source channel coding TTCM Nakagami

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Combined source-channel coding for a power and bandwidth constrained noisy channel

Combined source-channel coding for a power and bandwidth con...

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作者： Raja, Nouman Saeed Texas A&M University

This thesis proposes a framework for combined source-channel coding under power and bandwidth constrained noisy channel. The framework is then applied to progressive image coding transmission using constant envelope M-ary Phase Shift Key (MPSK) signaling over an Additive White Gaussian channel (AWGN) channel. First the framework for uncoded MPSK signaling is developed. Then, its extended to include coded modulation using Trellis Coded Modulation (TCM) for MPSK signaling. Simulation results show that coded MPSK signaling performs 3.1 to 5.2 dB better than uncoded MPSK signaling depending on the constellation size. Finally, an adaptive TCM system is presented for practical implementation of the proposed scheme, which outperforms uncoded MPSK system over all signal to noise ratio (Es/No) ranges for various MPSK modulation formats. In the second part of this thesis, the performance of the scheme is investigated from the channel capacity point of view. Using powerful channel codes like Turbo and Low Density Parity Check (LDPC) codes, the combined source-channel coding scheme is shown to be within 1 dB of the performance limit with MPSK channel signaling.

关键词： joint source channel coding Coded Modulation Image coding Book Thesis

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TTCM-Assisted Distributed source-channel coding for Nakagami-m Fading channels

TTCM-Assisted Distributed Source-Channel Coding for Nakagami...

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IEEE Vehicular Technology Conference

作者： Abdulah Jeza Aljohani Soon Xin Ng Lajos Hanzo University of Southampton Communications Signal Processing and Control Research Group

ISBN: (纸本)9781479944484

Asymmetric Distributed source-channel coding (DSC) is considered, where a pair of correlated sources are transmitting to a central node. The distributed scheme is based on Turbo Trellis Coded Modulation (TTCM), where the first source will be channel encoded and then compressed before it is sent over Nakagami-m fading channels. The second source signal, however, is assumed to be available flawlessly at the destination for exploitation as side information for improving the decoding performance of the first source. A wide range of fading scenarios were considered, where reliable communications approaching the Slepian-Wolf Shannon (SW/S) limit were exhibited. Finally, the scheme is capable of adapting to the time-variant short-term correlation between the two sources.

关键词： DSC Slepian-Wolf coding joint source channel coding TTCM Nakagami

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On Transmission of Multiresolution Gaussian sources over Noisy Relay Networks

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2013年第7期12卷 3170-3179页

作者： Ho, James Ho, Pin-Han Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

This paper investigates joint source-channel coding (JSCC) in a decode-and-forward three-node relay network, in which scalable source coding (SSC) is coupled with superposition coding (SPC) to form a layered coding architecture of SSC-SPC. In contrast to any previously reported research using asymptotic capacity-based distortion (CBD) measure, we derive the mean-squared error end-to-end distortion (EED) of such JSCC system based on a real-valued Gaussian source, aiming to achieve better precision and practicality for applications in which channels are subject to large error probabilities. The EED evaluation is formulated and applied to demonstrate achievable gains of the SSC-SPC architecture versus a number of conventional approaches. Power allocation optimization is performed based on the developed non-asymptotic EED model and compared to that by using an asymptotic CBD measure in which symbol losses caused by channel error cannot be considered. We demonstrate the performance gaps between results solved from EED versus CBD in our numerical example, and conclude that the optimization using CBD behaves awkwardly in computing proper power allocation configurations in the considered SSC-SPC architecture.

关键词： End-to-end distortion joint source channel coding relay scalable video superposition coding

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Multiple Descriptions with Symbol Based Turbo Codes Over Noisy channels With Packet Loss: Design and Performance Analysis

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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2008年第2期2卷 232-242页

作者： Valipour, Mehrdad Lahouti, Farshad Univ Tehran Wireless Multimedia Commun Lab Ctr Excellence Appl Electromagnet Sch Elect & Comp EngnColl Engn Tehran Iran

channel optimized multiple description (MD) vector quantization with symbol-based turbo codes are proposed, where the decoder exploits both nonuniformity of descriptions and their dependencies. The joint source channel coding strategy is devised by setting an entropy constraint for quantizer design, which together with the MD index assignment (IA), control the level of redundancy at the MD source coder output. This is in turn exploited by the source and channel decoders for robust transmission in presence of noise and packet loss. At the source coder, the IA is designed for an M-description vector quantizer using an efficient simulated annealing algorithm. Various numerical results and comparisons are provided to investigate the effect of different system and design parameters on the performance. The results specifically indicate improved performance in comparison to the prior art, and also in multiple input multiple output communications.

关键词： Index assignment joint source channel coding MIMO multiple description vector quantizer noisy channels with packet loss symbol-based turbo code

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Scalable coding with Side Information for Packet Loss Recovery

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IEEE TRANSACTIONS ON COMMUNICATIONS 2009年第8期57卷 2309-2319页

作者： Feldbauer, Christian Kleijn, W. Bastiaan Graz Univ Technol Signal Proc & Speech Commun Lab A-8010 Graz Austria KTH Royal Inst Technol Sound & Image Proc Lab Sch Elect Engn Stockholm Sweden AT&T Bell Labs Murray Hill NJ USA

This paper presents a packet loss recovery method that uses an incomplete secondary encoding based on scalar quantization as redundancy. The method is redundancy bit rate scalable and allows an adaptation to varying loss scenarios and a varying packeting strategy. The recovery is performed by minimum mean squared error estimation incorporating a statistical model for the quantizers to facilitate real.-time adaptation. A bit allocation algorithm is proposed that extends 'reverse water filling' to the problem of scalar encoding dependent variables for a decoder with a final estimation stage and available side information. We apply the method to the encoding of line-spectral frequencies (LSFs), which are commonly used in speech coding, illustrating the good performance of the method.

关键词： Robust coding packet loss media-specific forward error correction multiple description coding joint source channel coding speech coding

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Designing Optimal Multiresolution Quantizers with Error Detecting Codes

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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 2013年第7期12卷 3588-3599页

作者： Ho, James Yang, En-hui Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

This paper investigates the design of optimal multiresolution vector quantizers for broadcast channels with cyclic redundancy checks (CRC). Given a CRC-coded broadcast system with multiresolution vector quantization (MRVQ), a closed-form formula for the weighted end-to-end distortion (EED) is first derived under random index assignment. The closed-form expression is then further utilized to identify necessary optimality conditions to minimize the EED, from which an iterative algorithm is proposed for quantization design. Experiments conducted under both the point-to-point and broadcast channels demonstrate that for a wide range of channel error probability, inclusion of CRC significantly reduces the EED without sacrificing bandwidth. Further analyses are conducted to determine the best tradeoff between bits allocated for source quantization and CRC error detection.

关键词： joint source channel coding multiresolution noisy channel quantization cyclic redundancy check

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