{"title":"Zero-forcing for the symmetric Interference Channel with conferencing encoders","authors":"H. Bagheri, A. Motahari, A. Khandani","doi":"10.1109/ISIT.2010.5513355","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513355","url":null,"abstract":"A two-user Gaussian Interference Channel (GIC) is considered in which encoders are connected through noiseless links with finite capacities. New genie-aided upper bounds on the sum-capacity are developed which incorporate the capacities of the cooperative links. When the GIC is symmetric, with possibly different cooperation link capacities, the sum-capacity is characterized within 2.13 bits gap for all values of the channel parameters. In the achievable scheme, each transmitter sends a private and a common message, and zero-forces the part of the other transmitter's private message, communicated over the conference between the encoders.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134419701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The tradeoff function for a class of RLL(d, k) constraints","authors":"Erez Louidor Ilan","doi":"10.1109/ISIT.2010.5513657","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513657","url":null,"abstract":"A reverse concatenation coding scheme for storage systems in which the information is encoded first by a modulation (constraint) code and then by a systematic error-correcting code is considered. In this scheme, the output of the modulation coding stage has certain positions left “unconstrained”-in the sense that any way of filling them with bits results in a sequence that satisfies the constraint. These positions are then used to store the parity-check bits of the error-correcting code so that the result is a valid constrained sequence. The tradeoff function defines the maximum overall rate of the encoding scheme for a given density of unconstrained positions. This function is determined for two families of RLL constraints: RLL(d,∞) and RLL(d, 2d+2). For RLL(d, 2d+2), a curious dichotomy in the shape of the tradeoff function between different ranges of values of d is shown to exist.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130809644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LP decoding of regular LDPC codes in memoryless channels","authors":"N. Halabi, G. Even","doi":"10.1109/ISIT.2010.5513612","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513612","url":null,"abstract":"We study error bounds for linear programming decoding of regular LDPC codes. For memoryless binary-input output-symmetric channels, we prove bounds on the word error probability that are inverse doubly-exponential in the girth of the factor graph. For memoryless binary-input AWGN channels, we derive lower bounds on the thresholds for regular LDPC codes under LP decoding. Specifically, we prove a lower bound of σ = 0.735 on the threshold of (3, 6)-regular LDPC codes with logarithmic girth.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133362168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Set-partition methods and orthogonal designs","authors":"Smarajit Das","doi":"10.1109/ISIT.2010.5513710","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513710","url":null,"abstract":"Space-time block codes based on orthogonal designs are useful from practical point of view as these codes admit symbol-by-symbol maximum-likelihood decoding and also achieve full diversity. Though the square orthogonal designs have been studied quite extensively, there is very little progress in the area of non-square orthogonal designs. Some of the results pertaining to rectangular orthogonal designs have been obtained through various combinatorial methods which are quite involved and complicated. In this paper, we study non-square orthogonal designs using set partition methods. Using this method, some of the problems in complex orthogonal designs have been addressed. Moreover, the proposed method provides a simple and an elegant approach for the study of rectangular designs.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132658500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-dependent write channel model for Magnetic Recording","authors":"Aravind R. Iyengar, P. Siegel, J. Wolf","doi":"10.1109/ISIT.2010.5513433","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513433","url":null,"abstract":"We propose a new channel model for the write channel in Magnetic Recording with Bit-Patterned Media. We study information theoretic propoerties of this channel and suggest a simplistic rate-1/2 coding scheme that achieves zero error. Based on this channel model, we propose a channel with insertion and deletion errors.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128903555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clustered bounded-distance decoding of codeword-stabilized quantum codes","authors":"Yunfan Li, I. Dumer, M. Grassl, L. Pryadko","doi":"10.1109/ISIT.2010.5513671","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513671","url":null,"abstract":"Codeword stabilized (CWS) codes form a general class of quantum codes that includes stabilizer codes and many families of nonadditive codes with good parameters. Similar to classical nonlinear codes, a CWS code can be decoded by screening all possible errors. For an n-qubit quantum code correcting up to t errors, this brute-force approach consecutively tests different errors of weight t or less, and employs a separate n-qubit measurement in each test. To simplify decoding, we propose an algorithm that employs a single measurement to process all errors located on a given cluster of t qubits. Compared to an exhaustive error screening, this reduces the total number of measurements required for error correction about 3t times.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133796315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Local-testability and self-correctability of q-ary sparse linear codes","authors":"Widad Machmouchi","doi":"10.1109/ISIT.2010.5513421","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513421","url":null,"abstract":"We prove that q-ary sparse codes with small bias are self-correctable and locally testable. We generalize a result of Kaufman and Sudan [3] that proves the local testability and correctability of binary sparse codes with small bias. We use properties of q-ary Krawtchouk polynomials and the McWilliams identity -that relates the weight distribution of a code to the weight distribution of its dual- to derive bounds on the error probability of the randomized tester and self-corrector we are analyzing.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On reversible Markov chains and maximization of directed information","authors":"S. K. Gorantla, T. Coleman","doi":"10.1109/ISIT.2010.5513240","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513240","url":null,"abstract":"In this paper, we consider a dynamical system, whose state is an input to a memoryless channel. The state of the dynamical system is affected by its past, an exogenous input, and causal feedback from the channel's output. We consider maximizing the directed information between the input signal and the channel output, over all exogenous input distributions and/or dynamical system policies. We demonstrate that under certain conditions, reversibility of a Markov chain implies directed information is maximized. With this, we develop achievability theorems for channels with (infinite) memory as well as optimality conditions for sequential estimation of Markov processes through dynamical systems with causal feedback. We provide examples, which includes the exponential server timing channel and the trapdoor channel.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115549055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rotated modulations for outage probability minimization: a fading space approach","authors":"Dieter Duyck, J. Boutros, M. Moeneclaey","doi":"10.1109/ISIT.2010.5513716","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513716","url":null,"abstract":"The outage probability limit is a fundamental lower bound on the word error rate of coded communications systems. It is mainly determined by two parameters: the diversity order and the coding gain. With linear precoding, the maximum achievable coding rate yielding full-diversity can exceed the upper limit given by the standard Singleton bound. However, the effect of precoding on the coding gain is not well understood. This paper analyzes linear precoding from an information theoretical point of view and tries to optimize the coding gain. For discrete constellations, it is shown that constellation expansion together with one optimized precoding parameter is sufficient to approach the best outage achieved by a Gaussian alphabet, thus maximizing the coding gain.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124335266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Small ensembles of sampling matrices constructed from coding theory","authors":"A. Barg, A. Mazumdar","doi":"10.1109/ISIT.2010.5513359","DOIUrl":"https://doi.org/10.1109/ISIT.2010.5513359","url":null,"abstract":"In the area of compressed sensing it is known that high-dimensional, approximately sparse signals x ∈ RN can be accurately recovered from a small number m of linear samples. Most known recovery procedures rely in some form on a special property of the sampling matrix, called the Restricted Isometry Property (RIP). It has been shown that random Gaussian matrices possess the RIP and allow an efficient reconstruction of the signal, for instance, by linear programming or by other methods, and similar results are known for the ensembles of random binary matrices. We pursue a link between coding theory and compressed sensing, discussing the construction problem of sampling matrices with short sketches. The best known constructions of “small-bias probability spaces” (aka codes with narrow distance distribution) account for deterministic sampling matrices with sketch length m = O(k3 log N/log k) while the best randomized constructions require only m = Ω(k log(N/k)) samples, where k is the number of essential entries of the signal. We address the construction problem of sampling matrices in the region between these two extremes, allowing the sketch length of order k2 log N. We show that in this case it is possible to construct ensembles of sampling matrices of size much smaller than the ensembles known previously. For instance, the number of random bits required to construct a matrix in one of our ensembles equals O(k2 log k logN), which compares favorably with the previously known estimate of O(kN log(N/k)) random bits for ensembles of random binary matrices.","PeriodicalId":147055,"journal":{"name":"2010 IEEE International Symposium on Information Theory","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114821982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}