Name: Hypergraph Theory in Wireless Communication Networks (Springerbriefs in Electrical and Computer Engineering) (en Inglés)
SKU: 49948649
Price: 54.22 USD
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Author: Hongliang Zhang

portada Hypergraph Theory in Wireless Communication Networks (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Hypergraph Theory in Wireless Communication Networks (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Hongliang Zhang

Año

2017

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9783319604671

N° edición

Categorías

Hardware de redes

Hypergraph Theory in Wireless Communication Networks (Springerbriefs in Electrical and Computer Engineering) (en Inglés)

Hongliang Zhang (Autor) · Springer · Tapa Blanda

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Reseña del libro "Hypergraph Theory in Wireless Communication Networks (Springerbriefs in Electrical and Computer Engineering) (en Inglés)"

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.