Cognitive radio networks

Devroye, Natasha; Vu, Mai; Tarokh, Vahid

doi:10.1109/msp.2008.929286

Cited by 232 publications

(120 citation statements)

References 38 publications

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“…Energy detection is the simplest and most classic signal detection method, and it is also the hot issue of current research .Assuming that authorized user signal s (n) and noise signal w(n) both are Gaussian distribution, the mean and variance are 1  , 2  and 1  , 2  respectively. There are two cases when detect, one kind is that authorized users are taking up the spectrum, they received the signal which include authorized user signal and noise signal, another case is the authorized user did not take up of the spectrum, the received signal contains noise signal only, as shown in the formula (7):…”

Section: The Spectrum Sensing Technologymentioning

confidence: 99%

The Study on the Spectrum Sensing Technology in Wireless Cognitive Network

Hu¹

2016

Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

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Abstract. As a kind of technology with an application prospect, cognitive network not only can improve the utilization of spectrum resource, but also can relieve the increasingly serious problems of spectrum resources tension fundamentally, and it has become a research focus in the field of wireless communications, and gets more and more attention. This technology improve the utilization rate of spectrum by allowing cognitive users free access to the authorized spectrum, to ensure the spectrum resources can be recycled. In a number of key technologies of cognitive radio, spectrum detection algorithm occupies a very important position, it needs to detect the utilization of spectrum resource in real-time and accurately. This article introduces the concept and development present situation of cognitive network first, elaborated key technology of cognitive network, and made intensive study on the key technology of spectrum perception and the existing problems.

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Section: The Spectrum Sensing Technologymentioning

confidence: 99%

The Study on the Spectrum Sensing Technology in Wireless Cognitive Network

Hu¹

2016

Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

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“…CR is a new generation radio type that can identify the spectrum holes and use these holes as opportunistical. CR users intend to use the remaining spectrum from licensed users by continuously scanning the entire spectrum or a specific section of the spectrum [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue

Çiflikli

Ilgin

2018

Teh. vjesn.

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Abstract:The eigenvalue based detection is a low-cost spectrum sensing method that detects the presence of primary user signal at a desired frequency. In this study, the largest eigenvalue distribution used in eigenvalue based detection methods is expressed using a new centering and scaling coefficients adjustment. Thus, the detection probability (Pd) and false detection probability (Pfa) equations for the maximum-minimum eigenvalue (MME), maximum eigenvalue to trace (MET) and maximum eigenvalue-geometric mean (ME-GM) have been obtained again. Weibull fading channels are the best model for wireless communication. For this reason, the studies were simulated in Weibull fading channels and analysed in detail with receiver operating characteristic curves (ROC). The results were compared with traditional methods and found to be more accurate.

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“…In a cognitive radio network (CRN), a cognitive or secondary users (SUs) are allowed to use the spectrum by primary users (PUs) as long as the PUs do not use it. This operation is called opportunistic spectrum access, see for example [1,2]. To avoid interference to PUs, SUs must intelligently release the unlicensed spectrum if a licensed user appears as it was treated in [3,4].…”

Section: Introductionmentioning

confidence: 99%

Performance Modeling of Finite-Source Cognitive Radio Networks Using Simulation

Sztrik

Bérczes

Nemouchi

et al. 2016

Communications in Computer and Information Science

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Abstract. This paper deals with performance modeling of radio frequency licensing. Licensed users (Primary Users -PUs) and normal users (Secondary Users -SUs) are considered. The main idea, is that the SUs are able to access to the available non-licensed radio frequencies.A finite-source retrial queueing model with two non-independent frequency bands (considered as service units) is proposed for the performance evaluation of the system. A service unit with a priority queue and another service unit with an orbit are assigned to the PUs ans SUs, respectively. The users are classified into two classes: the PUs have got a licensed frequency, while the SUs have got a frequency band, too but it suffers from the overloading. We assume that during the service of the non-overloaded band the PUs have preemptive priority over SUs. The involved inter-event times are supposed to be independent, hypoexponentially, hyper-exponentially, lognormal distributed random variables, respectively, depending on the different cases during simulation.The novelty of this work is that we create a new model to analyze the effect of distribution of inter-event time on the mean and variance of the response time of the PUs and SUs.As the validation of the simulation program a model with exponentially distributed inter-event times is considered in which case a continuous time Markov chain is introduced and by the help of MOSEL (MOdeling Specification and Evaluation Language) tool the main performance measures of the system are derived. In several combinations of the distribution of the involved random variables we compare the effect of their distribution on the first and second moments of the response times illustrating in different figures.

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Cognitive radio networks

Abstract: The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. Published Version

Cited by 232 publications

References 38 publications

The Study on the Spectrum Sensing Technology in Wireless Cognitive Network

The Study on the Spectrum Sensing Technology in Wireless Cognitive Network

Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue

Performance Modeling of Finite-Source Cognitive Radio Networks Using Simulation

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