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2014 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Energy Detection for Spectrum Sensing in Cognitive Radio

verfasst von: Saman Atapattu, Chintha Tellambura, Hai Jiang

Verlag: Springer New York

Buchreihe : SpringerBriefs in Computer Science

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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SUCHEN

Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
In recent decades, the market for wireless devices and networks has boosted an unprecedented growth. This growth has led to numerous wireless services and applications. Consequently, regulatory agencies in different countries thus allocate (licensed) chunks of spectrum to different wireless services.
Saman Atapattu, Chintha Tellambura, Hai Jiang
Chapter 2. Conventional Energy Detector
Abstract
As mentioned before, the energy detector senses spectrum holes by determining whether the primary signal is absent or present in a given frequency slot. The energy detector typically operates without prior knowledge of the primary signal parameters. Its key parameters, including detection threshold, number of samples, and estimated noise power, determine the detection performance.
Saman Atapattu, Chintha Tellambura, Hai Jiang
Chapter 3. Alternative Forms of Energy Detectors
Abstract
Despite the benefits of low complexity and simple structure, the energy detector has several drawbacks.
Saman Atapattu, Chintha Tellambura, Hai Jiang
Chapter 4. Performance Measurements
Abstract
The energy detection process is affected by the fluctuations of the propagation channel, which occur due to path loss, large-scale fading and small-scale fading. Channel correlation is also a major impact when energy detectors are implemented in cooperative spectrum sensing networks [43].
Saman Atapattu, Chintha Tellambura, Hai Jiang
Chapter 5. Diversity Techniques and Cooperative Networks
Abstract
Achieving IEEE 802.22 WRAN spectrum sensing specifications is challenging because of shadowing, fading, and time variation of wireless channels. These distortions can be mitigated by using diversity combining and cooperative spectrum sensing techniques. The former improves the receive SNR, and the latter mitigates the hidden terminal problem.
Saman Atapattu, Chintha Tellambura, Hai Jiang
Metadaten
Titel
Energy Detection for Spectrum Sensing in Cognitive Radio
verfasst von
Saman Atapattu
Chintha Tellambura
Hai Jiang
Copyright-Jahr
2014
Verlag
Springer New York
Electronic ISBN
978-1-4939-0494-5
Print ISBN
978-1-4939-0493-8
DOI
https://doi.org/10.1007/978-1-4939-0494-5