Relevant bibliographies by topics / Gilbert-Elliott channel

Academic literature on the topic 'Gilbert-Elliott channel'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Gilbert-Elliott channel"

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Polyanskiy, Yury, H. Vincent Poor, and Sergio Verdú. "Dispersion of the Gilbert-Elliott Channel." IEEE Transactions on Information Theory 57, no. 4 (April 2011): 1829–48. http://dx.doi.org/10.1109/tit.2011.2111070.

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Chen, J., and R. M. Tanner. "A Hybrid Coding Scheme for the Gilbert–Elliott Channel." IEEE Transactions on Communications 54, no. 9 (September 2006): 1703. http://dx.doi.org/10.1109/tcomm.2006.881270.

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Jinghu Chen and R. M. Tanner. "A hybrid coding scheme for the Gilbert-Elliott channel." IEEE Transactions on Communications 54, no. 10 (October 2006): 1787–96. http://dx.doi.org/10.1109/tcomm.2006.881365.

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Wilhelmsson, L., and L. B. Milstein. "On the effect of imperfect interleaving for the Gilbert-Elliott channel." IEEE Transactions on Communications 47, no. 5 (May 1999): 681–88. http://dx.doi.org/10.1109/26.768760.

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Sharma, G., A. A. Hassan, and A. Dholakia. "Performance evaluation of burst-error-correcting codes on a Gilbert-Elliott channel." IEEE Transactions on Communications 46, no. 7 (July 1998): 846–49. http://dx.doi.org/10.1109/26.701297.

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Eckford, A. W., F. R. Kschischang, and S. Pasupathy. "Analysis of Low-Density Parity-Check Codes for the Gilbert–Elliott Channel." IEEE Transactions on Information Theory 51, no. 11 (November 2005): 3872–89. http://dx.doi.org/10.1109/tit.2005.856934.

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Chen, Wentao, Junzheng Wang, Dawei Shi, and Ling Shi. "Event-Based State Estimation of Hidden Markov Models Through a Gilbert–Elliott Channel." IEEE Transactions on Automatic Control 62, no. 7 (July 2017): 3626–33. http://dx.doi.org/10.1109/tac.2017.2671037.

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KOBAYASHI, M., H. YAGI, T. MATSUSHIMA, and S. HIRASAWA. "Density Evolution Analysis of Robustness for LDPC Codes over the Gilbert-Elliott Channel." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A, no. 10 (October 1, 2008): 2754–64. http://dx.doi.org/10.1093/ietfec/e91-a.10.2754.

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Hochwald, B. M., and P. R. Jelenkovic. "State learning and mixing in entropy of hidden Markov processes and the Gilbert-Elliott channel." IEEE Transactions on Information Theory 45, no. 1 (1999): 128–38. http://dx.doi.org/10.1109/18.746777.

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Chakraborty, S. S., M. Liinaharja, and P. Lindroos. "Analysis of adaptive GBN schemes in a Gilbert–Elliott channel and optimisation of system parameters." Computer Networks 48, no. 4 (July 2005): 683–95. http://dx.doi.org/10.1016/j.comnet.2004.11.007.

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Dissertations / Theses on the topic "Gilbert-Elliott channel"

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Griffiths, Wayne Bradley. "On a posteriori probability decoding of linear block codes over discrete channels." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0156.

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One of the facets of the mobile or wireless environment is that errors quite often occur in bursts. Thus, strong codes are required to provide protection against such errors. This in turn motivates the employment of decoding algorithms which are simple to implement, yet are still able to attempt to take the dependence or memory of the channel model into account in order to give optimal decoding estimates. Furthermore, such algorithms should be able to be applied for a variety of channel models and signalling alphabets. The research presented within this thesis describes a number of algorithms which can be used with linear block codes. Given the received word, these algorithms determine the symbol which was most likely transmitted, on a symbol-by-symbol basis. Due to their relative simplicity, a collection of algorithms for memoryless channels is reported first. This is done to establish the general style and principles of the overall collection. The concept of matrix diagonalisation may or may not be applied, resulting in two different types of procedure. Ultimately, it is shown that the choice between them should be motivated by whether storage space or computational complexity has the higher priority. As with all other procedures explained herein, the derivation is first performed for a binary signalling alphabet and then extended to fields of prime order. These procedures form the paradigm for algorithms used in conjunction with finite state channel models, where errors generally occur in bursts. In such cases, the necessary information is stored in matrices rather than as scalars. Finally, by analogy with the weight polynomials of a code and its dual as characterised by the MacWilliams identities, new procedures are developed for particular types of Gilbert-Elliott channel models. Here, the calculations are derived from three parameters which profile the occurrence of errors in those models. The decoding is then carried out using polynomial evaluation rather than matrix multiplication. Complementing this theory are several examples detailing the steps required to perform the decoding, as well as a collection of simulation results demonstrating the practical value of these algorithms.
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Cai, Yi. "Queueing Behavior over a Gilbert-Elliott Packet Erasure Channel." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10357.

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This thesis explores the queueing performance of a wireless communication system that transmits packets over a correlated erasure channel using the IEEE 802.11 protocol suit. The channel states and the queue length together form a Markov chain. Exploiting this mathematical structure, the probability of the queue exceeding a certain threshold can be obtained. Most previous contributions in this area treat code-rate selection, channel erasure probability and network congestion separately. In this thesis, a simple integrated approach, which jointly considers these factors, is introduced. This approach becomes especially valuable for capturing the performance of delay-sensitive communication systems over time-varying channels. This thesis starts with a review of related work about correlated bit-erasure wireless channel models. A numerical study is then conducted to demonstrate the importance of optimizing overall system performance, and how this process impacts error-control coding at the physical layer. Following this exercise, a packet-erasure channel model with a Poisson arrival process is analyzed. The Baum-Welch algorithm is subsequently presented as a means to estimate the parameters of wireless communication systems. Furthermore, a matrix geometric method for obtaining the stationary distribution of the ensuing Markov chain is discussed. This offers a new perspective on wireless communication in the context of delay-sensitive applications. To complement the analysis platform put forth in this work, illustrative numerical results are contained in the last section of the thesis. From these results, design guidelines for improving the performance of delay-sensitive wireless communication systems are established. Although these results are obtained under simplifying assumptions, the overall methodology applies to more general situations, especially for wide-band delay-sensitive wireless communication applications.
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Eckford, Andrew W. "Low-density parity-check codes for Gilbert-Elliott and Markov-modulated channels." 2004. http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=80212&T=F.

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Books on the topic "Gilbert-Elliott channel"

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Eckford, Andrew W. Low-density parity-check codes for Gilbert-Elliott and Markov-modulated channels. 2004.

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Book chapters on the topic "Gilbert-Elliott channel"

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You, Keyou, Nan Xiao, and Lihua Xie. "Data Rate Theorem for Stabilization Over Gilbert-Elliott Channels." In Communications and Control Engineering, 53–81. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-6615-3_5.

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Conference papers on the topic "Gilbert-Elliott channel"

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Polyanskiy, Yury, H. Vincent Poor, and Sergio Verdu. "Dispersion of the Gilbert-Elliott channel." In 2009 IEEE International Symposium on Information Theory - ISIT. IEEE, 2009. http://dx.doi.org/10.1109/isit.2009.5205838.

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Hamidi-Sepehr, Fatemeh, Yi Cai, Henry D. Pfister, and Jean-Francois Chamberland. "Queueing behavior of the Gilbert-Elliott channel: BCH codes and Poisson arrivals." In 2011 IEEE International Symposium on Information Theory - ISIT. IEEE, 2011. http://dx.doi.org/10.1109/isit.2011.6033861.

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Chakravorty, Jhelum, and Aditya Mahajan. "Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006733.

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Farjam, Tahmoores, Themistoklis Charalambous, and Henk Wymeersch. "Timer-Based Distributed Channel Access in Networked Control Systems over Known and Unknown Gilbert-Elliott Channels." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8796177.

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Farjam, Tahmoores, Fatemeh Fardno, and Themistoklis Charalambous. "Power Allocation of Sensor Transmission for Remote Estimation Over an Unknown Gilbert-Elliott Channel." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143632.

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Wilhelmsson, Leif R. "Evaluating the Performance of Raptor Codes for DVB-H by Using the Gilbert-Elliott Channel." In 2007 IEEE 66th Vehicular Technology Conference. IEEE, 2007. http://dx.doi.org/10.1109/vetecf.2007.406.

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Kobayashi, Manabu, Hideki Yagi, Toshiyasu Matsushima, and Shigeichi Hirasawa. "An efficient design of irregular LDPC codes using beta approximation for the Gilbert-Elliott channel." In 2008 International Symposium on Information Theory and Its Applications (ISITA). IEEE, 2008. http://dx.doi.org/10.1109/isita.2008.4895649.

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Fanous, Anthony, and Anthony Ephremides. "Transmission control of two-user slotted ALOHA over Gilbert-Elliott channel: Stability and delay analysis." In 2011 IEEE International Symposium on Information Theory - ISIT. IEEE, 2011. http://dx.doi.org/10.1109/isit.2011.6034024.

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Hasslinger, Gerhard, Anne Schwahn, and Franz Hartleb. "2-State (semi-)Markov processes beyond Gilbert-Elliott: Traffic and channel models based on 2nd order statistics." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6566938.

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Tang, Junhua, Parisa Mansourifard, and Bhaskar Krishnamachari. "Power allocation over two identical Gilbert-Elliott channels." In ICC 2013 - 2013 IEEE International Conference on Communications. IEEE, 2013. http://dx.doi.org/10.1109/icc.2013.6655538.

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