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Energy Detection for Spectrum Sensing in Cognitive Radio [electronic resource] / by Saman Atapattu, Chintha Tellambura, Hai Jiang.

By: Contributor(s): Material type: TextTextSeries: SpringerBriefs in Computer SciencePublisher: New York, NY : Springer New York : Imprint: Springer, 2014Description: X, 83 p. 27 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781493904945
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 004.6 23
LOC classification:
  • TK5105.5-5105.9
Online resources:
Contents:
Introduction -- Conventional Energy Detector -- Alternative Forms of Energy Detectors -- Performance Measurements -- Diversity Techniques and Cooperative Networks.
In: Springer eBooksSummary: 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.
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E-Book E-Book Central Library Available E-40223

Introduction -- Conventional Energy Detector -- Alternative Forms of Energy Detectors -- Performance Measurements -- Diversity Techniques and Cooperative Networks.

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.

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