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Journal ArticleDOI

Adaptive double-threshold based energy detector for spectrum sensing in cognitive radio networks

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TLDR
An energy detector utilizing adaptive double threshold (ED_ADT) for spectrum sensing, which improves detection performance as well as overcomes sensing failure problem is proposed.
Abstract
In cognitive radio networks, spectrum sensing is used to sense the unused spectrum in an opportunistic manner. In this paper, we propose an energy detector utilizing adaptive double threshold (ED_ADT) for spectrum sensing, which improves detection performance as well as overcomes sensing failure problem. The detection threshold is made adaptive to the fluctuation of the received signal power in each local detector of secondary user. Numerical results show that proposed ED_ADT scheme outperforms conventional energy detector by 12.8% at –8 dB signal-to-noise ratio (SNR) in terms of probability of detection alarm (P d). While utilizing cooperative spectrum sensing (CSS) with ED_ADT scheme, it is further found that adaptive double threshold improves detection performance around 26.8% and 7.6% as compared to CSS with single threshold and hierarchical with quantization method at –10 dB SNR, respectively, under the case when a small number of sensing nodes are used in spectrum sensing.

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Citations
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Journal ArticleDOI

Cyclostationary feature detection based spectrum sensing algorithm under complicated electromagnetic environment in cognitive radio networks

TL;DR: Results of simulation indicate that an algorithm based on the cyclostationary feature detection and theory of Hilbert transformation can flexibly detect the feature of received signal and provide satisfactory detection performance compared to existing approaches in low Signal-to-noise Ratio (SNR) situations.
Journal ArticleDOI

Spectrum sensing in cognitive radio networks: threshold optimization and analysis

TL;DR: A new threshold determination method based on online learning algorithm is proposed to increase the spectrum sensing performance of spectrum sensing methods and to minimize the total error probability.
Journal ArticleDOI

Low-Complexity Energy Detection for Spectrum Sensing With Random Arrivals of Primary Users

TL;DR: This work proposes an ED scheme based on the GLRT algorithm, and the performance of the proposed scheme is analyzed, showing that the proposed GLRT detector features a low-complexity and satisfactory performance.
Journal ArticleDOI

A utilization of multiple antenna elements for matched filter based spectrum sensing performance enhancement in cognitive radio system

TL;DR: Simulation results showed that the proposed MAE/MF technique outperforms the single antenna element based matched filter and other existing techniques in the state-of-the-art, especially at extremely low signal to noise ratios and limited number of received signal samples.
Journal ArticleDOI

Reliable spectrum sensing scheme based on dual detector with double-threshold for IEEE 802.22 WRAN

TL;DR: Numerical results shows that proposed reliable scheme improves detection performance and outperforms the cyclostationary based sensing method and adaptive SS by 12.9% and 15% at −8 dB signal-to-noise ratio (SNR), respectively.
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

Sensing-Throughput Tradeoff for Cognitive Radio Networks

TL;DR: This paper designs the sensing duration to maximize the achievable throughput for the secondary network under the constraint that the primary users are sufficiently protected, and forms the sensing-throughput tradeoff problem mathematically, and uses energy detection sensing scheme to prove that the formulated problem indeed has one optimal sensing time which yields the highest throughput.
Proceedings ArticleDOI

Implementation issues in spectrum sensing for cognitive radios

TL;DR: To improve radio sensitivity of the sensing function through processing gain, three digital signal processing techniques are investigated: matched filtering, energy detection and cyclostationary feature detection.
Journal ArticleDOI

SNR Walls for Signal Detection

TL;DR: It is argued that the tension between primary and secondary users is captured by the technical question of computing the optimal tradeoff between the primary user's capacity and the secondary user's sensing robustness as quantified by the SNR wall.
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