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Artículos de revistas sobre el tema "Gilbert-Elliott channel"

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Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 19 de febrero de 2022

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1

Polyanskiy, Yury, H. Vincent Poor y Sergio Verdú. "Dispersion of the Gilbert-Elliott Channel". IEEE Transactions on Information Theory 57, n.º 4 (abril de 2011): 1829–48. http://dx.doi.org/10.1109/tit.2011.2111070.

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2

Chen, J. y R. M. Tanner. "A Hybrid Coding Scheme for the Gilbert–Elliott Channel". IEEE Transactions on Communications 54, n.º 9 (septiembre de 2006): 1703. http://dx.doi.org/10.1109/tcomm.2006.881270.

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3

Jinghu Chen y R. M. Tanner. "A hybrid coding scheme for the Gilbert-Elliott channel". IEEE Transactions on Communications 54, n.º 10 (octubre de 2006): 1787–96. http://dx.doi.org/10.1109/tcomm.2006.881365.

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4

Wilhelmsson, L. y L. B. Milstein. "On the effect of imperfect interleaving for the Gilbert-Elliott channel". IEEE Transactions on Communications 47, n.º 5 (mayo de 1999): 681–88. http://dx.doi.org/10.1109/26.768760.

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5

Sharma, G., A. A. Hassan y A. Dholakia. "Performance evaluation of burst-error-correcting codes on a Gilbert-Elliott channel". IEEE Transactions on Communications 46, n.º 7 (julio de 1998): 846–49. http://dx.doi.org/10.1109/26.701297.

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6

Eckford, A. W., F. R. Kschischang y S. Pasupathy. "Analysis of Low-Density Parity-Check Codes for the Gilbert–Elliott Channel". IEEE Transactions on Information Theory 51, n.º 11 (noviembre de 2005): 3872–89. http://dx.doi.org/10.1109/tit.2005.856934.

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7

Chen, Wentao, Junzheng Wang, Dawei Shi y Ling Shi. "Event-Based State Estimation of Hidden Markov Models Through a Gilbert–Elliott Channel". IEEE Transactions on Automatic Control 62, n.º 7 (julio de 2017): 3626–33. http://dx.doi.org/10.1109/tac.2017.2671037.

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8

KOBAYASHI, M., H. YAGI, T. MATSUSHIMA y 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, n.º 10 (1 de octubre de 2008): 2754–64. http://dx.doi.org/10.1093/ietfec/e91-a.10.2754.

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9

Hochwald, B. M. y P. R. Jelenkovic. "State learning and mixing in entropy of hidden Markov processes and the Gilbert-Elliott channel". IEEE Transactions on Information Theory 45, n.º 1 (1999): 128–38. http://dx.doi.org/10.1109/18.746777.

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10

Chakraborty, S. S., M. Liinaharja y P. Lindroos. "Analysis of adaptive GBN schemes in a Gilbert–Elliott channel and optimisation of system parameters". Computer Networks 48, n.º 4 (julio de 2005): 683–95. http://dx.doi.org/10.1016/j.comnet.2004.11.007.

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11

Mushkin, M. y I. Bar-David. "Capacity and coding for the gilbert-elliott channels". IEEE Transactions on Information Theory 35, n.º 6 (noviembre de 1989): 1277–90. http://dx.doi.org/10.1109/18.45284.

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12

Wu, Junfeng, Guodong Shi, Brian D. O. Anderson y Karl Henrik Johansson. "Kalman Filtering Over Gilbert–Elliott Channels: Stability Conditions and Critical Curve". IEEE Transactions on Automatic Control 63, n.º 4 (abril de 2018): 1003–17. http://dx.doi.org/10.1109/tac.2017.2732821.

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13

Sakakibara, K. "Performance analysis of the error-forecasting decoding for interleaved block codes on Gilbert-Elliott channels". IEEE Transactions on Communications 48, n.º 3 (marzo de 2000): 386–95. http://dx.doi.org/10.1109/26.837042.

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14

Li, Qi, Bo Shen, Zidong Wang y Weiguo Sheng. "Recursive distributed filtering over sensor networks on Gilbert–Elliott channels: A dynamic event-triggered approach". Automatica 113 (marzo de 2020): 108681. http://dx.doi.org/10.1016/j.automatica.2019.108681.

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15

Fang, Yong y Jun Chen. "Decoding Polar Codes for a Generalized Gilbert-Elliott Channel with Unknown Parameter". IEEE Transactions on Communications, 2021, 1. http://dx.doi.org/10.1109/tcomm.2021.3095195.

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16

Donevski, Igor, Israel Leyva-Mayorga, Jimmy Jessen Nielsen y Petar Popovski. "Performance Trade-Offs in Cyber–Physical Control Applications With Multi-Connectivity". Frontiers in Communications and Networks 2 (16 de agosto de 2021). http://dx.doi.org/10.3389/frcmn.2021.712973.

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Resumen
Modern communication devices are often equipped with multiple wireless communication interfaces with diverse characteristics. This enables exploiting a form of multi-connectivity known as interface diversity to provide path diversity with multiple communication interfaces. Interface diversity helps to combat the problems suffered by single-interface systems due to error bursts in the link, which are a consequence of temporal correlation in the wireless channel. The length of an error burst is an essential performance indicator for cyber–physical control applications with periodic traffic, as this defines the period in which the control link is unavailable. However, the available interfaces must be correctly orchestrated to achieve an adequate trade-off between latency, reliability, and energy consumption. This work investigates how the packet error statistics from different interfaces impact the overall latency–reliability characteristics and explores mechanisms to derive adequate interface diversity policies. For this, we model the optimization problem as a partially observable Markov decision process (POMDP), where the state of each interface is determined by a Gilbert–Elliott model whose parameters are estimated based on experimental measurement traces from LTE and Wi-Fi. Our results show that the POMDP approach provides an all-round adaptable solution, whose performance is only 0.1% below the absolute upper bound, dictated by the optimal policy under the impractical assumption of full observability.
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17

Mazumdar, Abhijit, Srinivasan Krishnaswamy y Somanath Majhi. "H∞ optimal control over multiple Gilbert-Elliott type communication channels". IFAC Journal of Systems and Control, diciembre de 2020, 100134. http://dx.doi.org/10.1016/j.ifacsc.2020.100134.

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18

Ding, Derui, Zidong Wang, Qing-Long Han y Xian-Ming Zhang. "Recursive Secure Filtering over Gilbert-Elliott Channels in Sensor Networks: The Distributed Case". IEEE Transactions on Signal and Information Processing over Networks, 2020, 1. http://dx.doi.org/10.1109/tsipn.2020.3046220.

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19

"Packet Switching Network in Throughput Rate Less Code". International Journal of Innovative Technology and Exploring Engineering 8, n.º 9S3 (23 de agosto de 2019): 818–21. http://dx.doi.org/10.35940/ijitee.i3171.0789s319.

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We consider show movement and a discrete-time lining model, where the quantities of bundle landings over various timeslots are autonomous and indistinguishably disseminated and the parcel length is an altered worth. The transmission begins when there are more than bundles holding up in the approaching line proposed for every one of the collectors. The telecast stations are displayed by Markov balanced bundle eradication stations, where the parcel can either be deleted or effectively gotten and for every beneficiary the present station state circulation relies on upon the station states in past parcel transmissions. Gilbert–Elliott deletion channels, we can give a lower bound on the greatest achievable throughput
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