On Practical Network Coding for Wireless Environments

Katabi, Dina; Hu, Wenjun; Rahul, Hariharan; Médard, Muriel

doi:10.1109/izs.2006.1649085

Cited by 165 publications

(264 citation statements)

References 9 publications

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“…Existing wind farms are one example of such systems where individual wind turbines make local control decisions in response to local wind conditions (Pao & Johnson, 2009). Alternative systems include autonomous vehicles for surveillance missions (Marden & Wierman, 2008;Martinez, Cortes, & Bullo, 2007;Murphey, 1999) or the routing of information through a network (Katti, Katabi, Hu, Rahul, & Médard, 2005;Roughgarden, 2005). Regardless of the specific application domain, the primary goal in such systems is to design local control policies for the individual subsystems to ensure that the emergent collective behavior is desirable with respect to the system level objective.…”

Section: Introductionmentioning

confidence: 99%

State based potential games

2012

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Section: Introductionmentioning

confidence: 99%

State based potential games

2012

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“…As can be seen, the test run is separated into two phases, the first running from start and until the system in average has 77% of the set, and the second from then and until all nodes have the entire set. The first phase is when all nodes are sending with a speed of 4 3 . This is the case for both transmission methods, and they are therefore similar.…”

Section: Resultsmentioning

confidence: 99%

“…This can be used to denote the "speed" of the distribution. Here we say the speed is 4 3 , because four pieces of information were received using three transmissions. The speed is larger than one, because of the broadcast.…”

Section: Problem Statementmentioning

confidence: 99%

“…There exists a few implementations that address the issue of network coding for wireless mesh networks. One should mention COPE [4] where devices perform opportunistic coding using XOR operation, and a recent work [5] presenting CLONE algorithms for unicast wireless sessions and [6] with a lightweight localized network coding protocol BFLY.…”

Section: Introductionmentioning

confidence: 99%

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Network Coding Opportunities for Wireless Grids Formed by Mobile Devices

Nielsen

Madsen

Fitzek

2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Wireless grids have potential in sharing communication, computational and storage resources making these networks more powerful, more robust, and less cost intensive. However, to enjoy the benefits of cooperative resource sharing, a number of issues should be addressed and the cost of the wireless link should be taken into account. We focus on the question how nodes can efficiently communicate and distribute data in a wireless grid. We show the potential of a network coding approach when nodes have the possibility to combine packets thus increasing the amount of information per transmission. Our implementation demonstrates the feasibility of network coding for wireless grids formed by mobile devices.

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“…Here, we investigate the application of NC to TWSRNs, which have interested many studies [18]- [23]. In an NC-based TWSRN, the relay node mixes the signals received from two terminal nodes before broadcasting it.…”

Section: Introductionmentioning

confidence: 99%

Network coding-based channel quality indicator reporting for two-way multi-relay networks

Vien

Nguyen

2012

Wirel. Commun. Mob. Comput.

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an open access repository of Middlesex University research http://eprints.mdx.ac.uk Vien, Quoc-Tuan; Nguyen, Huan X., 2012. Network coding based CQI reporting for two-way multi-relay networks. Available from Middlesex University's Research Repository. Copyright:Middlesex University Research Repository makes the University's research available electronically.Copyright and moral rights to this work are retained by the author and/or other copyright owners. No part of the work may be sold or exploited commercially in any format or medium without the prior written permission of the copyright holder(s). A copy may be downloaded for personal, noncommercial, research or study without prior permission and without charge. Any use of the work for private study or research must be properly acknowledged with reference to the work's full bibliographic details.This work may not be reproduced in any format or medium, or extensive quotations taken from it, or its content changed in any way, without first obtaining permission in writing from the copyright holder(s).If you believe that any material held in the repository infringes copyright law, please contact the Repository Team at Middlesex University via the following email address: eprints@mdx.ac.ukThe item will be removed from the repository while any claim is being investigated. This results in a significant improvement of system throughput especially when the number of relays is large. Upper and lower bounds of the mean square error (MSE) of the estimated CQI are derived to study performance behaviour of our proposed scheme. It is found that the MSE of the estimated CQI increases proportionally with the square of the cardinality of CQI level sets though an increased number of CQI levels would eventually lead to a higher data-rate transmission. Based on the derived bounds, a low-complexity relay selection (RS) scheme is then proposed. Simulation results show that, in comparison with optimal methods, our suboptimal bound-based RS scheme achieves satisfactory performance while reducing the complexity at least three times in case of large number of relays.Quoc-Tuan Vien is with School of Engineering and Built Environment,

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On Practical Network Coding for Wireless Environments

Cited by 165 publications

References 9 publications

State based potential games

State based potential games

Network Coding Opportunities for Wireless Grids Formed by Mobile Devices

Network coding-based channel quality indicator reporting for two-way multi-relay networks

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