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Titlebook: Hypergraph Theory in Wireless Communication Networks; Hongliang Zhang,Lingyang Song,Yingjun Zhang Book 2018 The Author(s) 2018 Device to D

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发表于 2025-3-21 19:38:59 | 显示全部楼层 |阅读模式
书目名称Hypergraph Theory in Wireless Communication Networks
编辑Hongliang Zhang,Lingyang Song,Yingjun Zhang
视频video
概述Includes supplementary material:
丛书名称SpringerBriefs in Electrical and Computer Engineering
图书封面Titlebook: Hypergraph Theory in Wireless Communication Networks;  Hongliang Zhang,Lingyang Song,Yingjun Zhang Book 2018 The Author(s) 2018 Device to D
描述.This brief focuses on introducing a novel mathematical framework, referred as hypergraph theory, to model and solve the multiple interferer scenarios for future wireless communication networks. First, in Chap. 1, the authors introduce the basic preliminaries of hypergraph theory in general, and develop two hypergraph based polynomial algorithms, i.e., hypergraph coloring and hypergraph clustering. Then, in Chaps. 2 and 3, the authors present two emerging applications of hypergraph coloring and hypergraph clustering in Device-to-Device (D2D) underlay communication networks, respectively, in order to show the advantages of hypergraph theory compared with the traditional graph theory. Finally, in Chap. 4, the authors discuss the limitations of using hypergraph theory in future wireless networks and briefly present some other potential applications.. .This brief introduces the state-of-the-art research on the hypergraph theory and its applications in wireless communications. Anefficient framework is provided for the researchers, professionals and advanced level students who are interested in the radio resource allocation in the heterogeneous networks to solve the resource allocation a
出版日期Book 2018
关键词Device to Device communications; future wireless systems; hypergraph theory; radio resource management;
版次1
doihttps://doi.org/10.1007/978-3-319-60469-5
isbn_softcover978-3-319-60467-1
isbn_ebook978-3-319-60469-5Series ISSN 2191-8112 Series E-ISSN 2191-8120
issn_series 2191-8112
copyrightThe Author(s) 2018
The information of publication is updating

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Resource Allocation for Cross-Cell Device-to-Device Communications,er equipments (UEs) in proximity of each other can set up direct transmissions, which is expected to increase the overall spectral efficiency, enhance the system throughput, and improve the power saving of UEs.
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Radio Resource Allocation for Device-to-Device Underlay Communications, great deal of attention [1–4]. Reusing the same spectrum as in, not as for the cellular communications, user equipments (UEs) in a cellular network in proximity can set up direct transmissions, which potentially increases the overall spectral efficiency [5].
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Hypergraph Theory in Wireless Communication Networks978-3-319-60469-5Series ISSN 2191-8112 Series E-ISSN 2191-8120
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Hongliang Zhang,Lingyang Song,Yingjun ZhangIncludes supplementary material:
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SpringerBriefs in Electrical and Computer Engineeringhttp://image.papertrans.cn/h/image/430643.jpg
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