Performance Prediction for Energy Detection of Unknown Signals

Salt, J.E.; Nguyen, Ha H.

doi:10.1109/tvt.2008.921617

Cited by 42 publications

(22 citation statements)

References 8 publications

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“…One must note that a higherP e leads to a larger probability of detection P d 3 and a smaller probability of false alarm P f 3 .This makes sense because a higher P e results in a bigger difference with P e . It should be noted that whenP e >> P e , the optimal threshold value T ≈P e 2 .…”

Section: Methods Imentioning

confidence: 99%

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Cooperative spectrum-sensing algorithm in cognitive radio by simultaneous sensing and BER measurements

Wang

Fattouche

2016

J Wireless Com Network

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This paper considers spectrum utilization, the probability of detection in cognitive radio (CR) model based on cooperative spectrum sensing with both simultaneous adaptive sensing and transmission at a transmitting secondary user (TSU), and the bit error rate (BER) detection with variation checking at a receiving user (RSU). In this paper, a novel detecting model is proposed in the being considered scenario for the full-duplex TSU's simultaneous sensing and transmitting. A spectrum sensing scheme with an adaptive sensing window is designed to improve the spectrum utilization with a high SNR. At RSU, the BER variation is used further to detect whether a PU is active or not. Data fusion based on the proposed adaptive sensing scheme and the BER detection is processed for better decison on the spectrum holes. Simulation results show that (1) simultaneous spectrum sensing with an adaptive window improves the spectrum utilization compared with a periodical sensing and (2) cooperative spectrum sensing with the BER-assisted detection improves the probability of detection and spectrum utilization compared with the single simultaneous sensing at TSU.

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Section: Methods Imentioning

confidence: 99%

“…CR has two important functionalities: spectrum sensing and adaption [1]. Energy detection is conventionally used for spectrum sensing [3]. Traditionally, SU firstly detects the spectrum band using energy collection periodically.…”

Section: Introductionmentioning

confidence: 99%

Cooperative spectrum-sensing algorithm in cognitive radio by simultaneous sensing and BER measurements

Wang

Fattouche

2016

J Wireless Com Network

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“…As a consequence, some approximations have been proposed in the literature [5], [7]- [10], with the aim of reducing the computational complexity while preserving a sufficient accuracy. These approximations differ in two main aspects.…”

Section: Introductionmentioning

confidence: 99%

“…These approximations differ in two main aspects. First, the assumed model for the signal of the primary (licensed) user may be either deterministic [5], [8]- [10], or random Gaussian [5], [9] or unknown [7]. Herein, we focus on the random Gaussian model for the primary signal [4], [5], [9].…”

Section: Introductionmentioning

confidence: 99%

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Spectrum sensing using energy detectors with performance computation capabilities

Rugini

Banelli

Leus

2016

2016 24th European Signal Processing Conference (EUSIPCO)

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Abstract-We focus on the performance of the energy detector for cognitive radio applications. Our aim is to incorporate, into the energy detector, low-complexity algorithms that compute the performance of the detector itself. The main parameters of interest are the probability of detection and the required number of samples. Since the exact performance analysis involves complicated functions of two variables, such as the regularized lower incomplete Gamma function, we introduce new low-complexity approximations based on algebraic transformations of the onedimensional Gaussian Q-function. The numerical comparison of the proposed approximations with the exact analysis highlights the good accuracy of the low-complexity computation approach.

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Cognitive Radio

2015

Wireless Communications

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Performance Prediction for Energy Detection of Unknown Signals

Cited by 42 publications

References 8 publications

Cooperative spectrum-sensing algorithm in cognitive radio by simultaneous sensing and BER measurements

Cooperative spectrum-sensing algorithm in cognitive radio by simultaneous sensing and BER measurements

Spectrum sensing using energy detectors with performance computation capabilities

Cognitive Radio

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