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Journal ArticleDOI

Effects of Noise Power Estimation on Energy Detection for Cognitive Radio Applications

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TLDR
The performance of the ED with estimated noise power (ENP), addressing the threshold design and giving the conditions for the existence of the SNR wall is analyzed, and analytical expressions for the design curves (SNR vs. observation time for a target performance) for the ENP-ED are derived.
Abstract
An uncertain knowledge of the noise power level can severely limit the energy detector (ED) spectrum sensing capability. In some situations this uncertainty can cause signal-to-noise ratio (SNR) penalties or even the rise of the SNR wall phenomenon. In this paper we analyze the performance of the ED with estimated noise power (ENP), addressing the threshold design and giving the conditions for the existence of the SNR wall. We derive analytical expressions for the design curves (SNR vs. observation time for a target performance) for the ENP-ED. Then we apply our analysis to cognitive radio (CR) systems where energy detection is used for fast sensing. For example it is shown that the SNR penalty with respect to ideal ED is of 5 log10(1+λ/λ) dB, when the time dedicated to noise power estimation is a multiple λ of the ED observation interval.

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Citations
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Journal ArticleDOI

Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications

TL;DR: This survey paper focuses on the enabling techniques for interweave CR networks which have received great attention from standards perspective due to its reliability to achieve the required quality-of-service.
BookDOI

Energy Detection for Spectrum Sensing in Cognitive Radio

TL;DR: This Springer Brief focuses on the current state of theart research on spectrum sensing by using energy detection, a low-complexity and low-cost technique, and careful analysis enables reader to identify the most efficient techniques for improving energy detection performance.
Journal ArticleDOI

Cognitive Small Cell Networks: Energy Efficiency and Trade-Offs

TL;DR: This work evaluates a distributed sleep-mode strategy for cognitive SAPs and analyzes the trade-off between traffic offloading from the macrocell and the energy consumption of the small cells, proposing a framework that yields design guidelines for energy efficient small cell networks.
Journal ArticleDOI

A Mathematical Model for Wideband Ranging

TL;DR: A tractable model for the range information as a function of wireless environment, signal features, and energy detection techniques is established and serves as a cornerstone for the design and analysis of wideband ranging systems.
Journal ArticleDOI

Progression on spectrum sensing for cognitive radio networks: A survey, classification, challenges and future research issues

TL;DR: This paper provides the current state of the art in survey-style and a taxonomy of the relevant work with detailed classification and mathematical modeling of various spectrum sensing schemes for complete cognitive cycle in an informational fashion.
References
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Journal ArticleDOI

A survey of spectrum sensing algorithms for cognitive radio applications

TL;DR: In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented and the cooperative sensing concept and its various forms are explained.
Journal ArticleDOI

Energy detection of unknown deterministic signals

H. Urkowitz
TL;DR: By using Shannon's sampling formula, the problem of the detection of a deterministic signal in white Gaussian noise, by means of an energy-measuring device, reduces to the consideration of the sum of the squares of statistically independent Gaussian variates.
Journal ArticleDOI

On the Energy Detection of Unknown Signals Over Fading Channels

TL;DR: This letter addresses the problem of energy detection of an unknown signal over a multipath channel with the no-diversity case, and presents some alternative closed-form expressions for the probability of detection to those recently reported in the literature.
Journal ArticleDOI

A survey on spectrum management in cognitive radio networks

TL;DR: Recent developments and open research issues in spectrum management in CR networks are presented and four main challenges of spectrum management are discussed: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility.
Proceedings ArticleDOI

Cooperative Sensing among Cognitive Radios

TL;DR: This work proposes light-weight cooperation in sensing based on hard decisions to mitigate the sensitivity requirements on individual radios and shows that the "link budget" that system designers have to reserve for fading is a significant function of the required probability of detection.