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Radio Resource Management Using Geometric Water-Filling / / by Peter He, Lian Zhao, Sheng Zhou, Zhisheng Niu



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Autore: He Peter Visualizza persona
Titolo: Radio Resource Management Using Geometric Water-Filling / / by Peter He, Lian Zhao, Sheng Zhou, Zhisheng Niu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (97 p.)
Disciplina: 004.6
621.3845
621.3845/6
Soggetto topico: Computer communication systems
Electrical engineering
Computer Communication Networks
Communications Engineering, Networks
Persona (resp. second.): ZhaoLian
ZhouSheng
NiuZhisheng
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Geometric Water-Filling in RRM -- RRM in MIMO System -- RRM for Cognitive Network -- RRM in Wireless Communications with Energy Harvest Technology.
Sommario/riassunto: This brief introduces the fundamental theory and development of managing radio resources using a water-filling algorithm that can optimize system performance in wireless communication. Geometric Water-Filling (GWF) is a crucial underlying tool in emerging communication systems such as multiple input multiple output systems, cognitive radio systems, and green communication systems. Early chapters introduce emerging wireless technologies and provide a detailed analysis of water-filling. The brief investigates single user and multi-user issues of radio resource management, allocation of resources, and energy harvesting. Effective algorithms demonstrate the incredible potential capabilities of water-filling mechanisms. This brief is designed for researchers and professionals working with resource management and wireless communications. Advanced-level students in computer science and engineering will also find the information valuable.
Titolo autorizzato: Radio Resource Management Using Geometric Water-Filling  Visualizza cluster
ISBN: 3-319-04636-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299045703321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Computer Science, . 2191-5768