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Titlebook: Game Theory for Networks; 6th International Co Julian Cheng,Ekram Hossain,Mainak Chatterjee Conference proceedings 2017 ICST Institute for

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發(fā)表于 2025-3-21 17:16:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Game Theory for Networks
副標(biāo)題6th International Co
編輯Julian Cheng,Ekram Hossain,Mainak Chatterjee
視頻videohttp://file.papertrans.cn/381/380505/380505.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
圖書封面Titlebook: Game Theory for Networks; 6th International Co Julian Cheng,Ekram Hossain,Mainak Chatterjee Conference proceedings 2017 ICST Institute for
描述.This book constitutes the refereed proceedings of the 6th International Conference on Game Theory for Networks, GameNets 2016, held in Kelowna, Canada, in May 2016.. The 13 papers were carefully selected from 26 submissions and cover topics such as algorithmic game theory, game models and theories, game theories in wireless networks, design and analysis of economic games.?.
出版日期Conference proceedings 2017
關(guān)鍵詞ad hoc networks; algorithmic game theory; antennas; artificial intelligence; base stations; beamforming; c
版次1
doihttps://doi.org/10.1007/978-3-319-47509-7
isbn_softcover978-3-319-47508-0
isbn_ebook978-3-319-47509-7Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017
The information of publication is updating

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Josip Jovic,Timo Günthner,Heike Proffem is further formulated into a non-transferable coalition formation game, and several related factors of the game is described. A distributed coalition formation game algorithm based on the merge and split rule is proposed. With numerical results, the effectiveness of the game model and the algorithm is demonstrated.
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Tracking Areas Planning with Cooperative Game in Heterogeneous and Small Cell Networkson for TA planning, result from reducing the offloading ability of small cells. In this paper, a novel TA planning algorithm based on cooperative games is proposed by detecting similar communities. Simulation results show that it can reduce the signalling overhead while maintaining the utilization proportion of femtocells.
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G. A. E. Rudolf,H. Vetter,B. Wei?eric and define an user association game among different MNOs. We prove that the game is an exact potential game with . We develop a distributed algorithm that converges the NE (which is a socially optimal point) that can be used as a light-weight, dynamic user association algorithm.
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