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- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
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About this book
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 and interference management problems.
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Authors and Affiliations
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Peking University, Beijing, China
Hongliang Zhang, Lingyang Song
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University of Houston, Houston, USA
Zhu Han
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The Chinese University of Hong Kong, Hong Kong, Hong Kong
Yingjun Zhang
Bibliographic Information
Book Title: Hypergraph Theory in Wireless Communication Networks
Authors: Hongliang Zhang, Lingyang Song, Zhu Han, Yingjun Zhang
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-3-319-60469-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-3-319-60467-1Published: 06 September 2017
eBook ISBN: 978-3-319-60469-5Published: 24 July 2017
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: IX, 62
Number of Illustrations: 12 b/w illustrations, 14 illustrations in colour
Topics: Communications Engineering, Networks, Computer Communication Networks, Graph Theory