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Information-spectrum characterization of multiple-access channels with correlated sources

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2005年第11期E88A卷 3196-3202页

作者： Iwatata, K Oohama, Y Univ Electrocommun Grad Sch Informat Syst Chofu Tokyo 1828585 Japan Kyushu Univ Dept Comp Sci & Commun Engn Fukuoka 8128581 Japan

In this paper, Information-Spectrum characterization is derived for the reliable transmission of general correlated sources over the general multiple-access channels. We consider the necessary and sufficient conditions for the transmission of general correlated sources over the general multiple-access channels by using Information-Spectrum methods which are introduced by Han and Verdu.

关键词： information spectrum joint source-channel coding multiple-access channel with correlated sources

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channel-optimized quantization with soft-decision demodulation for space-time orthogonal block-coded channels

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2006年第10期54卷 3935-3946页

作者： Behnamfar, Firouz Alajaji, Fady Linder, Tamas Queens Univ Dept Math & Stat Kingston ON K7L 3N6 Canada Queens Univ Dept Elect & Comp Engn Kingston ON K7L 3N6 Canada Hungarian Acad Sci Comp & Animat Res Inst H-1111 Budapest Hungary

We introduce three soft-decision demodulation channel-optimized vector quantizers;(COVQs) to transmit analog sources over space-time orthogonal block (STOB)-coded flat Rayleigh fading channels with binary phase-shift keying (BPSK) modulation. One main objective is to judiciously utilize the soft information of the STOB-coded channel in the design of the vector quantizers while keeping a low system complexity. To meet this objective, we introduce a simple space-time decoding structure that consists of a space-time soft detector, followed by a linear combiner and a scalar uniform. quantizer with resolution q. The concatenation of the space-time encoder/modulator, fading channel, and space-time receiver can be described by a binary-input, 2(q)-output discrete memoryless channel (DMC). The scalar uniform quantizer is chosen so that the capacity of the equivalent DMC is maximized to fully exploit and capture the system's soft information by the DMC. We next determine the statistics of the DMC in closed form and use them to design three COVQ schemes with various degrees of knowledge of the channel noise power and fading coefficients at the transmitter and/or receiver. The performance of each quantization scheme is evaluated for memoryless Gaussian and Gauss-Markov sources and various STOB codes, and the benefits of each scheme is illustrated as a function of the antenna-diversity and soft-decision resolution q. Comparisons to traditional coding schemes, which perform separate source and channel coding operations, are also provided.

关键词： channel-optimized vector quantization convolutional codes diversity joint source-channel coding multiantenna fading channels soft-decision demodulation space-time coding wireless communications

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Successive refinement via broadcast: Optimizing expected distortion of a Gaussian source over a Gaussian fading channel

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IEEE TRANSACTIONS ON INFORMATION THEORY 2008年第7期54卷 2903-2918页

作者： Tian, Chao Steiner, Avi Shamai (Shitz), Shlomo Diggavi, Suhas N. Ecole Polytech Fed Lausanne Sch Comp & Commun Sci CH-1015 Lausanne Switzerland Technion Israel Inst Technol Dept Elect Engn IL-32000 Haifa Israel

We consider the problem of transmitting a Gaussian source on a slowly fading Gaussian channel, subject to the mean-squared error distortion measure. The channel state information is known only at the receiver but not at the transmitter. The source is assumed to be encoded in a successive refinement (SR) manner, and then transmitted over the channel using the broadcast strategy. In order to minimize the expected distortion at the receiver, optimal power allocation is essential. We propose an efficient algorithm to compute the optimal solution in linear time O (M), when the total number of possible discrete fading states is M. Moreover, we provide a derivation of the optimal power allocation when the fading state is a continuum, using the classical variational method. The proposed algorithm as well as the continuous solution is based on an alternative representation of the capacity region of the Gaussian broadcast channel.

关键词： broadcast strategy joint source-channel coding power allocation successive refinement (SR)

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Time-Asynchronous Gaussian Multiple Access Relay channel With Correlated sources

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IEEE TRANSACTIONS ON INFORMATION THEORY 2016年第1期62卷 309-321页

作者： Saffar, Hamidreza Ebrahimzadeh Khuzani, Masoud Badiei Mitran, Patrick Univ British Columbia Dept Elect & Comp Engn Vancouver BC V6T 1Z4 Canada Harvard Univ Sch Engn & Appl Sci Cambridge MA 02138 USA Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

We study the transmission of a set of correlated sources (U1,...,UK) over a Gaussian multiple access relay channel with time asynchronism between the encoders. We assume that the maximum possible offset d(max)(n) between the transmitters grows without bound as the block length n ->infinity, while the relative ratio d(max)(n)/n of the maximum possible offset to the block length asymptotically vanishes. For such a joint source-channel coding problem and under specific gain conditions, we derive necessary and sufficient conditions for reliable communications and show that separate source and channel coding achieves optimal performance. In particular, we first derive a general outer bound on the source entropy content for all channel gains as our main result. Then, using Slepian-Wolf source coding combined with the channel coding scheme on top of block Markov coding, we show that the thus achieved inner bound matches the outer bound. As a corollary, we also address the problem of sending a pair of correlated sources over a two-user interference channel in the same context.

关键词： Multiple access relay channel time asynchronism joint source-channel coding correlated sources interference channel

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State amplification

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IEEE TRANSACTIONS ON INFORMATION THEORY 2008年第5期54卷 1850-1859页

作者： Kim, Young-Han Sutivong, Arak Cover, Thomas M. Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Dept Stat Stanford CA 94305 USA

We consider the problem of transmitting data at rate R over a state-dependent channel p (y vertical bar x, s) with state information available at the sender and at the same time conveying the information about the channel state itself to the receiver. The amount of state information that can be learned at the receiver is captured by the mutual information I(S-n;Y-n) between the state sequence S-n and the channel output Y-n. The optimal tradeoff is characterized between the information transmission rate R and the state uncertainty reduction rate Delta, when the state information is either causally or noncausally available at the sender. In particular, when state transmission is the only goal, the maximum uncertainty reduction rate is given by Delta* = max(p(x vertical bar s)) I(X S;Y). This result is closely related and in a sense dual to a recent study by Merhav and Shamai, which solves the problem of masking the state information from the receiver rather than conveying it.

关键词： capacity causal state information channels with state information joint source-channel coding noncausal state information state amplification state uncertainty reduction writing on dirty paper

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On source Transmission Over MIMO channels With Limited Feedback

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2009年第1期57卷 324-341页

作者： Kim, Tung T. Skoglund, Mikael Caire, Giuseppe Royal Inst Technol Sch Elect Engn Stockholm Sweden Royal Inst Technol Sch Elect Engn S-10044 Stockholm Sweden Royal Inst Technol ACCESS Linnaeus Ctr S-10044 Stockholm Sweden Univ So Calif Dept Elect Engn Los Angeles CA 90089 USA

The problem of source-channel coding over a multiple-antenna (MIMO) channel with quantized channel state information at the transmitter (CSIT) is considered. Upper bounds on the distortion exponents achieved with partial CSIT under a long-term power constraint are developed. It is shown that the distortion exponent with perfect CSIT grows unbounded as the ratio between the channel and source bandwidth increases, while the exponent achieved with any feedback link of fixed, finite resolution is bounded above by a polynomial of the product between the number of transmit and number of receive antennas. The resolution of the feedback link should grow with the bandwidth ratio to make the distortion exponent scale as fast as that in the perfect-CSIT case. We show that in order to achieve the optimal scaling the CSIT feedback resolution must grow logarithmically with the bandwidth ratio for MIMO channels, and faster than linear for the single-input single-output channel. The achievable distortion exponent of some hybrid schemes with heavily quantized feedback is also derived. The results demonstrate that dramatic performance improvement over the case of no CSIT can be achieved by combining simple schemes with a very coarse CSIT feedback.

关键词： Diversity-multiplexing tradeoff joint source-channel coding large-deviation analysis MIMO systems

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A Derivation of the source-channel Error Exponent Using Nonidentical Product Distributions

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IEEE TRANSACTIONS ON INFORMATION THEORY 2014年第6期60卷 3209-3217页

作者： Tauste Campo, Adria Vazquez-Vilar, Gonzalo Guillen i Fabregas, Albert Koch, Tobias Martinez, Alfonso Univ Pompeu Fabra Dept Informat & Commun Technol Barcelona 08018 Spain Univ Pompeu Fabra Dept Informat & Commun Technol Inst Catalana Recerca & Estudis Avancats Barcelona 08018 Spain Univ Cambridge Dept Engn Cambridge CB2 1PZ England Univ Carlos III Madrid Signal Theory & Commun Dept Leganes 28911 Spain

This paper studies the random-coding exponent of joint source-channel coding for a scheme where source messages are assigned to disjoint subsets (referred to as classes), and codewords are independently generated according to a distribution that depends on the class index of the source message. For discrete memoryless systems, two optimally chosen classes and product distributions are found to be sufficient to attain the sphere-packing exponent in those cases where it is tight.

关键词： joint source-channel coding reliability function random coding product distributions sphere-packing bound

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Optimal Design of joint Protomatrix for DP-LDPC Codes-Based JSCC System Over on-Body channel

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IEEE ACCESS 2021年 9卷 33091-33101页

作者： Song, Dan Wang, Lin Chen, Qiwang Chen, Guanrong Xiamen Univ Dept Informat & Commun Engn Xiamen 361005 Peoples R China Huaqiao Univ Xiamen Key Lab Mobile Multimedia Commun Xiamen 361021 Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China

A high-quality data transmission scheme in wireless body area networks is implemented by a joint source-channel coding (JSCC) system with M-ary differential chaos shift keying modulation over an on-body channel. Current DP-LDPC code pairs, which have shown good bit-error ratio performance over additive white Gaussian noise channel and Rayleigh fading channel, cannot perform well over onbody channel. In this paper, the DP-LDPC codes are redesigned for the JSCC system with new methods depending on the on-body channel characteristics. A protomatrix dimension-restrictive searching algorithm for DP-LDPC codes in the JSCC system is proposed according to the on-body channel bandwith and source statistic, which is effective to predesign the dimension of the code pair for a new JSCC system. In this way, the source-channel code rates are appropriately allocated to leave more source redundancy for improving the error floor. Moreover, the joint protomatrix is reconstructed into two kinds of compact structures by simplifying the edge linking relationships and modifying joint protograph extrinsic information transfer algorithm, which decreases the induction of searching entries to further accelerate the code searching speed. The searched code pairs show better bit-error ratio performances compared with existing DP-LDPC codes. The power consumption in the new joint coding system is lower than the separate coding system in WBAN on the physical layer.

关键词： joint source-channel coding DP-LDPC codes on-body channel M-ary DCSK modulation bit-error ratio

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Optimal Phase Transitions in Compressed Sensing

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IEEE TRANSACTIONS ON INFORMATION THEORY 2012年第10期58卷 6241-6263页

作者： Wu, Yihong Verdu, Sergio Univ Penn Wharton Sch Dept Stat Philadelphia PA 19104 USA Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

Compressed sensing deals with efficient recovery of analog signals from linear encodings. This paper presents a statistical study of compressed sensing by modeling the input signal as an i.i.d. process with known distribution. Three classes of encoders are considered, namely optimal nonlinear, optimal linear, and random linear encoders. Focusing on optimal decoders, we investigate the fundamental tradeoff between measurement rate and reconstruction fidelity gauged by error probability and noise sensitivity in the absence and presence of measurement noise, respectively. The optimal phase-transition threshold is determined as a functional of the input distribution and compared to suboptimal thresholds achieved by popular reconstruction algorithms. In particular, we show that Gaussian sensing matrices incur no penalty on the phase-transition threshold with respect to optimal nonlinear encoding. Our results also provide a rigorous justification of previous results based on replica heuristics in the weak-noise regime.

关键词： Compressed sensing joint source-channel coding minimum mean-square error (MMSE) dimension phase transition random matrix Renyi information dimension Shannon theory

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Optimizing Low-Complexity Analog Mappings for Low-Power Sensors With Energy Scheduling Capabilities

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IEEE INTERNET OF THINGS JOURNAL 2022年第18期9卷 17387-17402页

作者： Mouris, Boules A. Stavrou, Photios A. Thobaben, Ragnar KTH Royal Inst Technol Sch Elect Engn & Comp Sci Div Informat Sci & Engn S-10044 Stockholm Sweden EURECOM F-06904 Sophia Antipolis France

Power consumption is a major challenge for a massive deployment of wireless sensors in Internet of Things (IoT) networks. This article studies the use of analog joint source-channel coding (AJSCC) mappings in low-power sensing schemes. In particular, we propose a novel triangular mapping geometry as a low-complexity dimension reduction mapping. The proposed triangular mapping is employed for analog compression of multiple sensor readings into one signal and, thus, limits the need for power-hungry analog-to-digital conversion and processing at the sensing nodes. A comprehensive performance analysis of the proposed triangular mapping in terms of the mean squared error (MSE) performance is provided analytically and verified numerically. The problem of mapping adaptation to different source distributions is also studied. Moreover, the proposed triangular mapping is adopted in an energy scheduling problem in which the sensing nodes schedule their use of the received powers at different time instants and adjust the mapping parameters accordingly with the goal of minimizing the sum distortion at the receiver. We present a fast low-complexity algorithm for optimal energy scheduling and verify its performance in comparison with commercial convex optimization solvers. It is shown that the proposed mapping provides a very good MSE performance compared to the AJSCC benchmarks despite having a much lower complexity circuit implementation.

关键词： Analog mappings energy harvesting joint source-channel coding low-power sensors

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