Listen and Talk [recurso electrónico] : Full-duplex Cognitive Radio Networks / by Yun Liao, Lingyang Song, Zhu Han.
Tipo de material: TextoSeries SpringerBriefs in Electrical and Computer EngineeringEditor: Cham : Springer International Publishing : Imprint: Springer, 2016Descripción: VIII, 100 p. 35 illus., 25 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319339795Tema(s): Engineering | Computer communication systems | Electrical engineering | Engineering | Communications Engineering, Networks | Computer Communication NetworksFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK1-9971Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Introduction -- Full-duplex Cognitive Radio Networks -- Extensions of the LAT Protocol -- Full-duplex WiFi -- Conclusions and Future Works.
This brief focuses on the use of full-duplex radio in cognitive radio networks, presenting a novel spectrum sharing protocol that allows the secondary users to simultaneously sense and access the vacant spectrum. This protocol, called ?Listen-and-talk? (LAT), is evaluated by both mathematical analysis and computer simulations in comparison with other existing protocols, including the listen-before-talk protocol. In addition to LAT-based signal processing and resource allocation, the brief discusses techniques such as spectrum sensing and dynamic spectrum access. The brief proposes LAT as a suitable access scheme for cognitive radio networks, which can support the quality-of-service requirements of these high priority applications. Fundamental theories and key techniques of cognitive radio networks are also covered. Listen and Talk: Full-duplex Cognitive Radio Networks is designed for researchers, developers, and professionals involved in cognitive radio networks. Advanced-level students studying signal processing or simulations will also find the content helpful since it moves beyond traditional cognitive radio networks into future applications for the technology.