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Energy Detection for Spectrum Sensing in Cognitive Radio / / by Saman Atapattu, Chintha Tellambura, Hai Jiang



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Autore: Atapattu Saman Visualizza persona
Titolo: Energy Detection for Spectrum Sensing in Cognitive Radio / / by Saman Atapattu, Chintha Tellambura, Hai Jiang Visualizza cluster
Pubblicazione: New York, NY : , : Springer New York : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (94 p.)
Disciplina: 621.384
Soggetto topico: Computer communication systems
Electrical engineering
Computer Communication Networks
Communications Engineering, Networks
Persona (resp. second.): TellamburaChintha
JiangHai
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Conventional Energy Detector -- Alternative Forms of Energy Detectors -- Performance Measurements -- Diversity Techniques and Cooperative Networks.
Sommario/riassunto: This Springer Brief focuses on the current state-of-the-art research on spectrum sensing by using energy detection, a low-complexity and low-cost technique. It includes a comprehensive summary of recent research, fundamental theories, possible architectures, useful performance measurements of energy detection and applications of energy detection. Concise, practical chapters explore conventional energy detectors, alternative forms of energy detectors, performance measurements, diversity techniques and cooperative networks. The careful analysis enables reader to identify the most efficient techniques for improving energy detection performance. Energy Detection for Spectrum Sensing in Cognitive Radio is a valuable tool for researchers and practitioners interested in spectrum sensing and cognitive radio networks. Advanced-level students studying wireless communication will also benefit from this brief.
Titolo autorizzato: Energy Detection for Spectrum Sensing in Cognitive Radio  Visualizza cluster
ISBN: 1-4939-0494-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910298572503321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Computer Science, . 2191-5768