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Spectrum Sensing based on Energy Detection using MATLAB_Simulink

V. Divyapraba, K. Kishore Kumar, R. Pratheepa, V. Elamaran
2015 Indian Journal of Science and Technology  
A unique approach to energy detection based on FFT shows increase in the sensing in the form of spectrum estimation with four primary users and the noise is assumed to be additive white Gaussian.  ...  Energy detection technique is adopted to compare the performance of different modulated signals in poor and good SNR.  ...  The basic idea of the paper is energy detection in which the probability of detection for various signal to noise ratio is tested along with the performance comparison for different modulated signals.  ... 
doi:10.17485/ijst/2015/v8i1/84148 fatcat:cox5wzp65ze2vfobbi4pirktey

Noise Uncertainty Analysis Of Energy Detector: Bounded And Unbounded Approximation Relationship

Sara Bahamou, Amor Nafkha
2013 Zenodo  
Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco, 2013  ...  There exists an SNR wall value of the signal-to-noise ratio beyond which detection is theoretically impossible.  ...  Figure 1 Fig. 2 . 12 andfigure 2show the performance of energy detection algorithm for a given probability of false alarm, signal-to-noise ratio on X-axis and probability of detection Detection probability  ... 
doi:10.5281/zenodo.43645 fatcat:r6vuxipx5nfozf7m6vwikujvlu

An improved energy detection scheme for cognitive radio networks in low SNR region

Ahmed S. B. Kozal, Madjid Merabti, Faycal Bouhafs
2012 2012 IEEE Symposium on Computers and Communications (ISCC)  
However, the performance of conventional energy detection is greatly deteriorating due to the impact of noise uncertainty, especially in low signal to noise ratio SNR environments.  ...  Spectrum sensing is one of the most important elements in cognitive radio networks. Many spectrum sensing algorithms have been proposed in the literature.  ...  Generally, the resolution of energy detection scheme depends on the Signal-to-Noise-Ratio (SNR) of the received signal.  ... 
doi:10.1109/iscc.2012.6249377 dblp:conf/iscc/KozalMB12 fatcat:bfonlujpmbdo7jpzbtg3a4p624

Improvement of Noise Uncertainty and Signal-To-Noise Ratio Wall in Spectrum Sensing Based on Optimal Stochastic Resonance

Di He, Xin Chen, Ling Pei, Lingge Jiang, Wenxian Yu
2019 Sensors  
Noise uncertainty and signal-to-noise ratio (SNR) wall are two very serious problems in spectrum sensing of cognitive radio (CR) networks, which restrict the applications of some conventional spectrum  ...  It can extend the application scenes of the conventional energy detection especially under some serious wireless conditions especially low SNR circumstances such as deep wireless signal fading, signal  ...  Optimal Stochastic-Resonance-Based Detection Approach under Low Signal-To-Noise Ratio To overcome the SNR wall problem mentioned in the last Section, a novel spectrum sensing approach based on the optimal  ... 
doi:10.3390/s19040841 fatcat:ushlkrapmbcyzkaqcnkvxs5euq

A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks

Ya Zhang, Qin Zhang, Tommaso Melodia
2010 IEEE Communications Letters  
Because of noise uncertainty, the performance of traditional detectors such as matched filters, energy detectors, and even cyclostationary detectors deteriorates rapidly at low Signal-to-Noise Ratios (  ...  Sensitivity to noise uncertainty is a fundamental limitation of current spectrum sensing strategies in cognitive radio networks (CRN).  ...  INTRODUCTION S Ensitivity to noise uncertainty is a fundamental limitation of current spectrum sensing strategies designed to detect the presence of primary users in cognitive radio networks (CRN).  ... 
doi:10.1109/lcomm.2010.06.091954 fatcat:zu6vhpobnve6xfkyl74luqnhee

Performance Analysis of Energy Detection Method in Spectrum Sensing Using Static and Variable Threshold Level for 3G/4G/VoLTE

Prajwal Patil, Pradeep R Pawar, Praneeth P Jain, Manoranjan K V, Devasis Pradhan
2020 Saudi Journal of Engineering and Technology  
Spectrum sensing is the most important part of the cognitive radio system and it is used to detect the presence of signal in the air.  ...  In the proposed work, Energy detection is chosen in which spectrum sensing is done by considering static and dynamic threshold level.  ...  The plot of Probability of detection (P d ) and Signal to Noise Ratio (SNR) is illustrated in Fig.4 . Signal to Noise Ratio (SNR) is on X-axis and probability of detection (P d ) is on Y-axis.  ... 
doi:10.36348/sjet.2020.v05i04.007 fatcat:sckp6s22gvfjfam6rahf6op76u

Hybrid Detection Method for Improving Spectrum Sensing Performance in Cognitive Radio

2016 International Journal of Science and Research (IJSR)  
At low signal-to-noise ratio values energy detection degrades the spectrum sensing performance.  ...  Energy detection based spectrum sensing is the most commonly used spectrum sensing technique in cognitive radio.  ...  Acknowledgment I would like to express profound gratitude to our Head of the Department, Prof. Cherian Schariah, for his encouragement and for providing all facilities for my work.  ... 
doi:10.21275/v5i6.nov164316 fatcat:cv33rmyxijbphbvtgqlobcpz7q

Experimental study of spectrum sensing based on energy detection and network cooperation

Danijela Cabric, Artem Tkachenko, Robert W. Brodersen
2006 Proceedings of the first international workshop on Technology and policy for accessing spectrum - TAPAS '06  
In this work, we implemented energy detector on a wireless testbed and measured the required sensing time needed to achieve the desired probability of detection and false alarm for modulated and sinewave-pilot  ...  We measured the minimum detectable signal levels set by the receiver noise uncertainties.  ...  Since the energy of the QPSK signal is spread over a wider bandwidth, it becomes harder to detect weak signals in additive noise.  ... 
doi:10.1145/1234388.1234400 fatcat:bww6y62emvg25pqkfj5e2y6wja

An energy efficient hybrid co-operative spectrum sensing technique for CRSN

K. Hareesh, P. Singh
2013 2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)  
All CRSN nodes are equipped with simple energy detectors and the additional task of detection using Eigen value based detectors is being assigned to a detection center.  ...  A new energy efficient hybrid co-operative spectrum sensing technique which associates energy and Eigen value based detectors is proposed to improve the sensing efficiency and sensing reliability to enhance  ...  Eigen value based spectrum sensing can be mainly employed using two algorithms, based on the ratio of maximum to minimum Eigen value (MME) and based on the ratio of average signal power to the minimum  ... 
doi:10.1109/imac4s.2013.6526451 fatcat:o3btchuhprgjxj43pxbuslboci

A HOS-Based Blind Spectrum Sensing in Noise Uncertainty

Agus Subekti, Sugihartono Sugihartono, Nana Rachmana Syambas, Andriyan Bayu Suksmono
2015 Journal of ICT Research and Applications  
Spectrum sensing for cognitive radio is a challenging task since it has to be able to detect the primary signal at a low signal to noise ratio (SNR).  ...  Detection of the primary signal will be difficult especially for blind spectrum sensing methods that rely on the variance of noise for their threshold setting, such as energy detection.  ...  Increasing N will not increase detection performance below the SNR wall. In this case, the limitation of energy detection in noise uncertainty needs to be improved.  ... 
doi:10.5614/itbj.ict.res.appl.2015.9.1.2 fatcat:bmvjmlxhdbax5d2tflvd5ojsda

Convergence of mobile broadband and broadcast services: A cognitive radio sensing and sharing perspective

Kagiso Rapetswa, Ling Cheng
2020 Intelligent and Converged Networks  
As a result, spectrum efficiency improvement models based on spectrum sensing and sharing models have attracted a lot of research attention in recent years, including CR learning models, network densification  ...  In addition and given the strong correlation between the typical size of a spectrum block and the achievable data rate, the models studied in this paper are applicable in ultra-high frequency band.  ...  An alternative approach to identify the SNR wall and thus enable the CR to avoid the SNR wall entails the analysis of the sensing detection Threshold to the Noise variance Ratio (TNR).  ... 
doi:10.23919/icn.2020.0003 fatcat:65ra6w7qofejdonuias7gxwpkq

Experimental Spectrum Sensing Measurements using USRP Software Radio Platform and GNU-Radio

Amor NAFKHA, Malek NAOUES, Krzysztof CICHON, Adrian KLIKS
2014 Proceedings of the 9th International Conference on Cognitive Radio Oriented Wireless Networks  
In this paper, we present an experimental study that evaluates the performance of two different spectrum sensing techniques to detect primary user signals in real environment.  ...  However sequential energy detector can be used for reduction of sensing time in the presence of strong signals.  ...  ACKNOWLEDGMENT This work has been supported by the European Commission in the framework of the FP7 Network of Excellence in Wireless COMmunications NEWCOM# (FP7 Contract Number: 318306).  ... 
doi:10.4108/icst.crowncom.2014.255415 dblp:conf/crowncom/NafkhaNCK14 fatcat:c7s3a6n65zexbkhdkylujnxrda

Spectrum Sensing in Low SNR Regime via Stochastic Resonance [article]

Kun Zheng, Husheng Li, Seddik M. Djouadi, Jun Wang
2009 arXiv   pre-print
In many scenarios, primary user signal must be detected reliably in low signal-to-noise ratio (SNR) regime under required sensing time.  ...  Spectrum sensing is essential in cognitive radio to enable dynamic spectrum access.  ...  The most challenging problem in spectrum sensing is how to detect very weak signals of PUs, or in other words, how to improve the signal-to-noise ratio (SNR) of received signal.  ... 
arXiv:0906.0739v1 fatcat:ygwthgcibvc7rj3ln6i2rckfbq

Analyzing the Performance of Spectrum Sensing Algorithms for IEEE 802.11 af Standard in Cognitive Radio Network

Tanuja S. DHOPE (SHENDKAR), Dina SIMUNIC, Antun KERNER
2012 Studies in Informatics and Control  
In this paper we are analyzing the performance of spectrum sensing algorithms; energy detection and covariance absolute value utilizing TV white space for IEEE 802.11 af standard.  ...  In cognitive radio, spectrum sensing is the fundamental problem.  ...  This creates Signal-to-Noise Ratio wall (SNR wall) under which it is not possible to detect the signal [18] .The degradation in performance of ED method due to noise uncertainty is studied in detail in  ... 
doi:10.24846/v21i1y201211 fatcat:zs2x5urbcncidjqn4qki2qtwyu

Utilization of idle time slot in spectrum sensing under noise uncertainty

Iyad Khalil Tumar, Adnan Mohammad Arar, Ayman Abd El Saleh
2022 International Journal of Power Electronics and Drive Systems (IJPEDS)  
In such uncertain environment; SUs sense the received power of a primary user (PU) independently with different measures of signal-to-noise ratio (SNR).  ...  Noise uncertainty affects the reliability of detecting vacant holes in the spectrum, thus limiting the access of that spectrum by secondary users (SUs).  ...  The statistical measurements of the received signal power is generally governed by environmental constrains such as the signal-to-noise ratio (SNR) and judged based on the predefined detection threshold  ... 
doi:10.11591/ijece.v12i1.pp431-444 fatcat:uhcs4lji7va4toyqwgnuxyafku
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