Review of spectrum sensing in cognitive radio

Perera, L. N. T.; Herath, Vijitha

doi:10.1109/iciinfs.2011.6038031

Cited by 15 publications

(12 citation statements)

References 29 publications

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“…Section IV deals with estimation of Monte Carlo while in section V simulated results are explained followed by concluding remarks in Section VI , II. LITERATURE REVIEW Different Spectrum sensing ways are developed such as, Energy Detection (ED), Cyclostationary Feature Detection (CFD), Matched Filter (MF), Waveform based sensing and Cooperative sensing [5][6][7][8][9][10][11][12][13][14]. Energy Detection, Cyclostationary Feature Detection, Matched Filter Detection mostly referred to as transmitter detection based sensing techniques.…”

Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

“…The MF is known to be the optimum method for detection of primary users when the transmitted signal is known [16]. MF methods are optimal for stationary Gaussian noise scenarios as this maximize the received SNR [5][6][7]. The main advantage of MF is the short time to achieve a certain probability of false alarm or probability of miss detection [16] as compared to other methods.…”

Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

“…However matched-filtering requires CR to demodulate received signals. It requires perfect knowledge of the PU signaling features such as BW, operating frequency, modulation type their order, pulse shaping, and frame format [5][6][7], [10][11][12][13][14] etc.…”

Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

“…Other spectrum sensing approach is Cyclostationary Based Sensing technique [5][6][7], [9], [27], [32]. Cyclostationary Feature Detection could be a technique for investigating primary user transmissions by exploiting the cyclostationarity options of the received signals [27], [31].…”

Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

“…In non-coherent detection no priori data is needed for detection. Another way to classify sensing techniques relies on the information measure of the spectrum of interest for sensing, these are Narrow-band and Wideband [5][6][7][8][9][10][11][12][13], [29]. During this paper we have investigated CFD and ED techniques for Spectrum sensing using Monte Carlo simulation.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of ROC parameters using Monte Carlo simulation in cyclostationary and energy detection spectrum sensing

Ansari¹,

Gulhane²

2015

2015 International Conference on Information Processing (ICIP)

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Growing demand in the wireless world puts plenty of constraints on the usage of accessible spectrum. Static Spectrum Allocation (SSA) ends up in underutilization of spectrum. Much of the portion of Radio Frequency (RF) band is not effectively used. Cognitive feature Radio is upcoming technology to unravel spectrum deficiency. Various approaches have been developed to overcome this spectrum scarcity problem. In this work Cyclostationary feature detection (CFD) and Energy Detection Spectrum sensing techniques have been investigated using Monte Carlo simulation and compared on the basis of various ROC parameters. Spectrum sensing is the key that helps to sight the spectrum holes (underutilized band) providing high spectral resolution capability. Cyclostationary feature methodology out performs Energy detection in terms of detection likelihood Pd, likelihood of warning Pf and SNR. Both the algorithms are implemented using MATLAB. The result shows that for different SNR the CFD performs better than Ed. CFD also perform better in low signal to noise ratio as compare to ED.

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Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

Section: Abdul Hameed Ansari Is An Ieee Member Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of ROC parameters using Monte Carlo simulation in cyclostationary and energy detection spectrum sensing

Ansari¹,

Gulhane²

2015

2015 International Conference on Information Processing (ICIP)

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Introduction

2021

Spectrum Sharing in Cognitive Radio Networks

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Authentication scheme to combat a primary user emulation attack against cognitive radio users

Jayapalan

Thenmozhi

2015

Security Comm Networks

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Cognitive radios are a good fit for overcoming inefficient usage of the available radio spectrum, allowing secondary users to utilize the spectrum when the primary licensed users are not consuming it. This requires secondary users to continuously observe their spectrum utilization to prevent interfering with the primary user's transmissions. However, an adversary can exploit this to gain unfair use of the spectrum. Such an attack is known a primary user emulation attack. To avoid these attacks, a method of authenticating the primary user's signal is required. This work addresses embedding such an authentication message with the binary phase shift keying and eight‐phase shift keying modulation techniques, parity bits of the error control codes, and pre‐coder bit of the modified duo‐binary scheme, and analyses of the error performance have been carried out with the aid of their performance graphs. Copyright © 2015 John Wiley & Sons, Ltd.

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Review of spectrum sensing in cognitive radio

Cited by 15 publications

References 29 publications

Investigation of ROC parameters using Monte Carlo simulation in cyclostationary and energy detection spectrum sensing

Investigation of ROC parameters using Monte Carlo simulation in cyclostationary and energy detection spectrum sensing

Introduction

Authentication scheme to combat a primary user emulation attack against cognitive radio users

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