Dynamic Spectrum Access for Wireless Networks

This SpringerBrief presents adaptive resource allocation schemes for secondary users for dynamic spectrum access (DSA) in cognitive radio networks (CRNs) by considering Quality-of-Service requirements, admission control, power/rate control, interference constraints, and the impact of spectrum sensin...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Rawat, Danda B. (Autor), Song, Min (Autor), Shetty, Sachin (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:SpringerBriefs in Electrical and Computer Engineering,
Temas:
Computer networks .
Telecommunication.
Computer Communication Networks.
Communications Engineering, Networks.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Dynamic Spectrum Access for Wireless Networks  |h [electronic resource] /  |c by Danda B. Rawat, Min Song, Sachin Shetty. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a XV, 69 p. 24 illus. in color.  |b online resource. 
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490 1 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8120 
505 0 |a An Overview of Cognitive Radio Networks -- Resource Allocation in Spectrum Underlay Cognitive Radio Networks -- Cloud-integrated Geolocation-aware Dynamic Spectrum Access -- Resource Allocation for Cognitive Radio Enabled Vehicular Network Users. 
520 |a This SpringerBrief presents adaptive resource allocation schemes for secondary users for dynamic spectrum access (DSA) in cognitive radio networks (CRNs) by considering Quality-of-Service requirements, admission control, power/rate control, interference constraints, and the impact of spectrum sensing or primary user interruptions. It presents the challenges, motivations, and applications of the different schemes. The authors discuss cloud-assisted geolocation-aware adaptive resource allocation in CRNs by outsourcing computationally intensive processing to the cloud. Game theoretic approaches are presented to solve resource allocation problems in CRNs. Numerical results are presented to evaluate the performance of the proposed methods. Adaptive Resource Allocation in Cognitive Radio Networks is designed for professionals and researchers working in the area of wireless networks. Advanced-level students in electrical engineering and computer science, especially those focused on wireless networks, will find this information helpful. 
650 0 |a Computer networks . 
650 0 |a Telecommunication. 
650 1 4 |a Computer Communication Networks. 
650 2 4 |a Communications Engineering, Networks. 
700 1 |a Song, Min.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Shetty, Sachin.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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830 0 |a SpringerBriefs in Electrical and Computer Engineering,  |x 2191-8120 
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950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

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