Spectrum sensing with an improved Energy detection

Elrharras, Abdessamad; Saadane, Rachid; Aroussi, Mohamed El; Wahbi, Mohamed; Hamdoun, Abdellatif

doi:10.1109/icmcs.2014.6911386

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…The calculation of PD and PFA will allow us to plot the curve PD=f (PFA) which is called Receiver Operating Characteristic (ROC) and it is the performance of detector [1].…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

“…Where N0 is the one-sided noise power spectral density , and represent central and conditionally noncentral chi-square distribution respectively, with 2TW degrees of freedom and 2γ is a non-centrality parameter for the distribution, γ is an instantaneous SNR and ,TW, is timebandwidth product is an integer number [1]. "The most often used approaches in the energy detection are based on the Neyman-Pearson (NP) lemma".…”

Section: Fig 1: the Conventional Energy Detectormentioning

confidence: 99%

“…These problems are limited by Cognitive radio (CR). CR is introduced by Mitola and, it increased spectral efficiency [1]. Recently, it is a newly emerging technology which has been proposed to implement some kind of intelligence.…”

Section: Introductionmentioning

confidence: 99%

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Performance of Energy Detector for Cognitive Radio System over AWGN and Rayleigh Channel

Mosa¹,

Algamluoli²

2017

IJCA

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Cognitive radio has a critical application which it is Spectrum access, and knowing that the key to this application is detected in the spectrum to find free bands. Nowadays the studies confirmed that the energy detector methods are the most convenient method. In this work, we present the energy detector and explain how it is a convenient method in a sense because it doesn't need any prior information about the primary user. The simulation of energy detection methods has been done in MATLAB program, for both, AWGN and Rayleigh channels. The simulation confirmed the theoretical results, which gives that the performance of AWGN channel is greater than a Rayleigh channel, it is also verified that the performance of the detector is independent of the type of modulation.

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“…The calculation of PD and PFA will allow us to plot the curve PD=f (PFA) which is called Receiver Operating Characteristic (ROC) and it is the performance of detector [1].…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

Section: Fig 1: the Conventional Energy Detectormentioning

confidence: 99%

See 1 more Smart Citation

Performance of Energy Detector for Cognitive Radio System over AWGN and Rayleigh Channel

Mosa¹,

Algamluoli²

2017

IJCA

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“…Matched filter detection technique [6], [7], energy detection techniques [8], [9], and cyclostationary feature detection techniques [10], [11] are some examples of spectrum sensing. In all these examples, the most used method for spectrum sensing is the energy detection (ED) technique [12], [13], [14]. This is because it is easy to implement and does not require any information about the PU signal.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Spectrum Sensing Implementation using Energy Detection Method

Hoedzoade

2022 ASEE Gulf Southwest Annual Conference Proceedings

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Cognitive radio networks (CRNs) are emerging as a promising solution to address the spectrum shortage problem. A cognitive radio network is a radio that senses the spectral environment over a wide frequency band and can temporarily use it in a way that causes no harm or interference to the primary user (PU). In a cognitive system, however, one challenging issue is the spectrum sensing operation (SS). Finding a way out of this challenge should go a long way to mitigate the artificial spectrum shortage problems concerning academia, the wireless industry, regulators, and many other areas. In this paper, we will discuss the implementation of the spectrum sensing operation using a real signal generated by Raspberry Pi 4 card and a 433 MHz Wireless transmitter using ASK (Amplitude-Shift Keying) and FSK (Frequency-Shift Keying) modulation types and captured using MATLAB-Simulink software. In addition, we implement an RTL-SDR hardware using the energy detection technique. The Federal Communications Commission (FCC) according to a study conducted has shown that during the rush hours, some frequency bands are overloaded. Yet, the use of frequency spectrum is not uniform; some frequencies in the spectrum according to the hours of the day and to the geographical position are not occupied or partially occupied while others are heavily used. The activity is concentrated on cellular radio and FM (Frequency Modulation) bands. The term spectrum holes are given to the unused frequencies. It is a region of spatiotemporal frequencies allocated to a licensed user also known as the primary users (PUs), but at a particular time and specific geographic location the PU, secondary, is not using the band and unique use is possible. As the demand for the frequency spectrum becomes more and more, the FCC suggests a substantial increase in the efficiency of the spectral resource. The cognitive radio (CR) is an intelligent device that can sense the spectrum holes, making it available for unlicensed users (secondary users (SUs)) opportunistically and dynamically. The SUs can take advantage of these spectral holes without causing little or no harmful interference to PUs. In this paper, we will evaluate the performance of the spectrum Sensing Implementation using the commonly used method known as the Energy Detection (ED) method.

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Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases

Du,

Ju,

et al. 2023

Communications in Computer and Information Science

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Spectrum sensing with an improved Energy detection

Cited by 9 publications

References 11 publications

Performance of Energy Detector for Cognitive Radio System over AWGN and Rayleigh Channel

Performance of Energy Detector for Cognitive Radio System over AWGN and Rayleigh Channel

Performance Evaluation of Spectrum Sensing Implementation using Energy Detection Method

Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases

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