Hypergraph theory in wireless communication networks / Hongliang Zhang... [et al.].
2018
QA166.23
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Title
Hypergraph theory in wireless communication networks / Hongliang Zhang... [et al.].
ISBN
9783319604695 (electronic book)
3319604694 (electronic book)
9783319604671
3319604678
3319604694 (electronic book)
9783319604671
3319604678
Publication Details
Cham : Springer, c2018.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-319-60469-5 doi
Call Number
QA166.23
Dewey Decimal Classification
511/.5
620
620
Summary
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. An efficient 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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text file PDF
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Description based on print version record.
Series
SpringerBriefs in electrical and computer engineering.
Available in Other Form
Print version: 3319604678
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Table of Contents
Basics in Hypergraph Theory
Key Algorithms
Applications of Hypergraph Theory
Conclusions and Future Works.
Key Algorithms
Applications of Hypergraph Theory
Conclusions and Future Works.