Modeling and simulation of joint time-frequency properties of spectrum usage in cognitive radio

López-Benítez, Miguel; Casadevall, F.; López-Pérez, David; Vasilakos, Athanasios V.

doi:10.1145/2093256.2093260

Cited by 12 publications

(14 citation statements)

References 7 publications

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“…The duty cycle values for individual channels within the same spectrum band have been shown to follow a beta distribution [48], [49]. The Kumaraswamy distribution, which closely resembles the beta distribution, can also be used as an appropriate model [49] (see Fig.…”

Section: Modelsmentioning

confidence: 99%

“…The Kumaraswamy distribution, which closely resembles the beta distribution, can also be used as an appropriate model [49] (see Fig. 4).…”

Section: Modelsmentioning

confidence: 99%

“…The analysis of empirical measurement data also indicates that channels with similar load levels (duty cycle values) are not found alone but in groups (clusters) of a certain size (i.e., the duty cycle is clustered in the frequency domain) [44], [49]. This aspect can be modeled by defining a set of duty cycle archetypes (i.e., ranges of duty cycle values).…”

Section: Modelsmentioning

confidence: 99%

“…5 by showing each cluster and the corresponding duty cycle archetype in a different color. Following this approach, the cluster size (i.e., the number of channels in a cluster) can then be modeled as a random variable with a lognormal [44] or geometric [44], [49] distribution.…”

Section: Modelsmentioning

confidence: 99%

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Spectrum Usage in Cognitive Radio Networks: From Field Measurements to Empirical Models

López-Benítez

Casadevall

2014

IEICE Trans. Commun.

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SUMMARYCognitive Radio (CR) is aimed at increasing the efficiency of spectrum utilization by allowing unlicensed users to access, in an opportunistic and non-interfering manner, some licensed bands temporarily and/or spatially unoccupied by the licensed users. The analysis of CR systems usually requires the spectral activity of the licensed system to be represented and characterized in a simple and tractable, yet accurate manner, which is accomplished by means of spectrum models. In order to guarantee the realism and accuracy of such models, the use of empirical spectrum occupancy data is essential. In this context, this paper explains the complete process of spectrum modeling, from the realization of field measurements to the obtainment of the final validated model, and highlights the main relevant aspects to be taken into account when developing spectrum usage models for their application in the context of the CR technology. key words: cognitive radio, dynamic spectrum access, spectrum usage, spectrum measurements, spectrum models

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Section: Modelsmentioning

confidence: 99%

“…The Kumaraswamy distribution, which closely resembles the beta distribution, can also be used as an appropriate model [49] (see Fig. 4).…”

Section: Modelsmentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

Section: Modelsmentioning

confidence: 99%

See 2 more Smart Citations

Spectrum Usage in Cognitive Radio Networks: From Field Measurements to Empirical Models

López-Benítez

Casadevall

2014

IEICE Trans. Commun.

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“…5. In the frequency domain, the distribution of the DC in the frequency domain was investigated [44]. In [45], an investigation of the distribution of the number of idle channels was presented.…”

Section: Related Workmentioning

confidence: 99%

Smart Spectrum for Future Wireless World

Fujii

Umebayashi

2017

IEICE Trans. Commun.

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SUMMARY As the role of wireless communication is becoming more important for realizing a future connected society for not only humans but also things, spectrum scarcity is becoming severe, because of the huge numbers of mobile terminals and many types of applications in use. In order to realize sustainable wireless connection under limited spectrum resources in a future wireless world, a new dynamic spectrum management scheme should be developed that considers the surrounding radio environment and user preferences. In this paper, we discuss a new spectrum utilization framework for a future wireless world called the "smart spectrum." There are four main issues related to realizing the smart spectrum. First, in order to recognize the spectrum environment accurately, spectrum measurement is an important technology. Second, spectrum modeling for estimating the spectrum usage and the spectrum environment by using measurement results is required for designing wireless parameters for dynamic spectrum use in a shared spectrum environment. Third, in order to effectively gather the measurement results and provide the spectrum information to users, a measurement-based spectrum database can be used. Finally, smart spectrum management that operates in combination with a spectrum database is required for realizing efficient and organized dynamic spectrum utilization. In this paper, we discuss the concept of the smart spectrum, fundamental research studies of the smart spectrum, and the direction of development of the smart spectrum for targeting the future wireless world. key words: smart spectrum, spectrum measurement, spectrum usage modeling, spectrum database, spectrum management

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Spectrum Usage Models for the Analysis, Design and Simulation of Cognitive Radio Networks

López-Benítez

Casadevall

2012

Lecture Notes in Electrical Engineering

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ADVERTIMENT. La consulta d'aquesta tesi queda condicionada a l'acceptació de les següents condicions d'ús: La difusió d'aquesta tesi per mitjà del servei TDX (www.tesisenxarxa.net) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d'investigació i docència. No s'autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d'un lloc aliè al servei TDX. No s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tesisenred.net) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR. No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora. WARNING.On having consulted this thesis you're accepting the following use conditions: Spreading this thesis by the TDX (www.tesisenxarxa.net) service has been authorized by the titular of the intellectual property rights only for private uses placed in investigation and teaching activities. Reproduction with lucrative aims is not authorized neither its spreading and availability from a site foreign to the TDX service. Introducing its content in a window or frame foreign to the TDX service is not authorized (framing). This rights affect to the presentation summary of the thesis as well as to its contents. In the using or citation of parts of the thesis it's obliged to indicate the name of the author Essentially, all models are wrong, but some are useful.George E. P. BoxTo my beloved family for their unconditional love and support.A mi querida familia por su cariño y apoyo incondicionales. 0 ABSTRACTThe owned spectrum allocation policy, in use since the early days of modern radio communications, has been proven to effectively control interference among radio communication systems and simplify the design of hardware for use at a known and fixed range of frequencies. However, the overwhelming proliferation of new operators, innovative services and wireless technologies during the last years has resulted, under this static regulatory regime, in the depletion of all spectrum bands with commercially attractive radio propagation characteristics. The vast majority of spectrum regarded as usable has already been allocated, thus...

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Modeling and simulation of joint time-frequency properties of spectrum usage in cognitive radio

Cited by 12 publications

References 7 publications

Spectrum Usage in Cognitive Radio Networks: From Field Measurements to Empirical Models

Spectrum Usage in Cognitive Radio Networks: From Field Measurements to Empirical Models

Smart Spectrum for Future Wireless World

Spectrum Usage Models for the Analysis, Design and Simulation of Cognitive Radio Networks

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