2014 IEEE Global Communications Conference 2014
DOI: 10.1109/glocom.2014.7037034
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A game theoretic approach to minimize the completion time of network coded cooperative data exchange

Abstract: In this paper, we introduce a game theoretic framework for studying the problem of minimizing the completion time of instantly decodable network coding (IDNC) for cooperative data exchange (CDE) in decentralized wireless network. In this configuration, clients cooperate with each other to recover the erased packets without a central controller. Game theory is employed herein as a tool for improving the distributed solution by overcoming the need for a central controller or additional signaling in the system. W… Show more

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Cited by 17 publications
(20 citation statements)
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“…Recently, some works [20][21][22][23] begin to address the delay reduction problem in IDNC-enable D2D network configuration. While the authors in [20,21,23] design algorithm for the sum decoding delay reduction, references [20,22] propose schemes for the completion time reduction.…”
Section: Related Workmentioning
confidence: 99%
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“…Recently, some works [20][21][22][23] begin to address the delay reduction problem in IDNC-enable D2D network configuration. While the authors in [20,21,23] design algorithm for the sum decoding delay reduction, references [20,22] propose schemes for the completion time reduction.…”
Section: Related Workmentioning
confidence: 99%
“…Indeed, as delay minimization problems in IDNC-based systems are equivalent to a maximum weight clique problems in the IDNC graph, the presented algorithms can be applied to different delay aspects and network settings. For example, they can be applied to reduce the complexity of the sum decoding delay minimization problem in imperfect feedback scenario proposed in [24] to the decentralized completion time reduction algorithm for D2D networks proposed in [22].…”
Section: Related Workmentioning
confidence: 99%
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“…Though both proved to be NP-hard parameters to minimize, many heuristics have been developed to solve them in many scenarios, e.g., references [11]- [13] study the decoding delay reduction and references [14]- [16] the completion time minimization in a device-todevice communication enabled network. In fact, it can be readily inferred from [9] and [10] that the policies derived so far to optimize one usually degrades the other.…”
mentioning
confidence: 99%
“…The key idea is to approximate the completion time using a decoding delay dependent expression that can be used to reduce efficiently the overall delivery time. The approach is generalized in [23], [24] to distributed networks using game theory tools.…”
Section: Introduction Imentioning
confidence: 99%