Spectrum Measurements supporting Reconfiguration in Heterogeneous Networks

Renk, Tobias; Kloeck, C.; Jondral, Friedrich K.; Cordier, P.; Holland, Oliver; Negredo, F.

doi:10.1109/istmwc.2007.4299166

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…For example, the spatial distribution of the spectral occupancy was analyzed in [241] in the context of a cellular mobile communication system. In contrast to other similar works where a cellular network is monitored from outside the system by means of field measurements and in a limited geographical region [167,168,277], the study reported in [241] monitors the arrival of calls from inside the system and over hundreds of base stations simultaneously in the period of three weeks. Based on such measurements and making use of variograms, the study presented in [241] analyzes the spatial variability of the spectral occupancy for sectors of the same and different cells as well as the correlation among various cells based on the traffic supported during the minute of maximum load.…”

Section: Previous Workmentioning

confidence: 96%

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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Section: Previous Workmentioning

confidence: 96%

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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“…Measurements are used in Reichl et al 16 for investigating the transmission control protocol/internet protocol (TCP/IP) performance of an integrated UMTS/GPRS/ wireless fidelity (WiFi) network. Renk et al 17 also use measurements for analyzing the impact of big sport events on the performance of an integrated UMTS/ GPRS/WiFi network.…”

Section: Introductionmentioning

confidence: 99%

A hybrid simulation framework for the evaluation of common radio resource management scenarios

Pillekeit

Müller-Clostermann

2011

SIMULATION

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We present a hybrid modeling framework with interacting simulative and analytic submodels for the efficient evaluation of common radio resource management (CRRM). It enables a cost-benefit investigation of different CRRM algorithms and architectures. Centralized as well as decentralized scenarios can be clearly defined by five standard components, namely the radio access system, the environment, the user equipment, the CRRM information manager, and the CRRM decider. The costs and time consumption of CRRM operations are taken into account via chargeable messages. The clarity of the model enables an efficient investigation of CRRM algorithms based on optimization theory, game theory, physical models, and other methods. The resulting framework has been implemented as a hybrid simulation model using the discrete event simulation system OMNeTþþ. A convenient and straightforward integration of different wireless network technologies and user service demands is also supported; models for the universal mobile telecommunications system (UMTS) and the global system for mobile communications/enhanced general packet radio service (GSM/EGPRS) are already integrated. The scope of the proposed framework is demonstrated by the evaluation of realistic scenarios.

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“…Moreover, some large-scale measurement-driven characterizations of the PU activities in cellular networks are also carried out for different spectrum bands. In [9], the authors analyze the spectrum occupancy of PUs in GSM and UMTS bands. In [10], the PU activities are analyzed in the New York cellular bands, i.e., CDMA and GSM.…”

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confidence: 99%

Primary User Activity Modeling Using First-Difference Filter Clustering and Correlation in Cognitive Radio Networks

Canberk

Akyildiz

Oktuğ

2011

IEEE/ACM Trans. Networking

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Abstract-In many recent studies on cognitive radio (CR) networks, the primary user activity is assumed to follow the Poisson traffic model with exponentially distributed interarrivals. The Poisson modeling may lead to cases where primary user activities are modeled as smooth and burst-free traffic. As a result, this may cause the cognitive radio users to miss some available but unutilized spectrum, leading to lower throughput and high false-alarm probabilities. The main contribution of this paper is to propose a novel model to parametrize the primary user traffic in a more efficient and accurate way in order to overcome the drawbacks of the Poisson modeling. The proposed model makes this possible by arranging the first-difference filtered and correlated primary user data into clusters. In this paper, a new metric called the Primary User Activity Index, 8, is introduced, which accounts for the relation between the cluster filter output and correlation statistics. The performance of the proposed model is evaluated by means of traffic estimation accuracy, false-alarm probabilities while keeping the detection probability of primary users at a constant value. Simulation results show that the appropriate selection of the Primary User Activity Index, higher primary-user detection accuracy, reduced false-alarm probabilities, and higher throughput can be achieved by the proposed model. Index Terms-Clustering, cognitive radio (CR) networks, primary user activity modeling.

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Spectrum Measurements supporting Reconfiguration in Heterogeneous Networks

Cited by 10 publications

References 4 publications

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

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

A hybrid simulation framework for the evaluation of common radio resource management scenarios

Primary User Activity Modeling Using First-Difference Filter Clustering and Correlation in Cognitive Radio Networks

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