Regulatory and standardization aspects of DSA technologies - global requirements and perspective

Hoffmeyer, James A.

doi:10.1109/dyspan.2005.1542699

Cited by 21 publications

(19 citation statements)

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“…The current spectrum underutilization has motivated an important number of activities and initiatives in the regulatory [6][7][8][9][10][11][12], economic [13][14][15][16][17] and research communities in searching for better spectrum management policies. In this context, the term Dynamic Spectrum Access (DSA) has been coined to refer to innovative solutions proposing a procedure or scheme to share spectrum among wireless operators, technologies and services in order to increase the overall spectrum utilization.…”

Section: Dynamic Spectrum Accessmentioning

confidence: 99%

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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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Section: Dynamic Spectrum Accessmentioning

confidence: 99%

“…In the particular case of the CED method this is an straightforward problem that can be solved analytically based on Equation 6.4. The resulting decision threshold is given by Equation 6.5.…”

Section: Ied Threshold Settingmentioning

confidence: 99%

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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“…The regulatory perspective on how the spectrum should be allocated and utilized in a complex and composite technology scenario is evolving towards a cautious introduction of more flexibility in spectrum management together with economic considerations on spectrum trading. This new spectrum management paradigm is driven by the growing competition for spectrum and the requirement that the spectrum is used more efficiently [7]. Then, instead of the classical fixed spectrum allocation to licensed systems and services, which may become too rigid and inefficient, it is being recently considered the possibility to use Flexible Spectrum Management (FSM) strategies that dynamically assign spectrum bands in accordance with the specific traffic needs in each area [8].…”

Section: Heterogeneous Network and Adaptive Rrmmentioning

confidence: 99%

Heterogeneous and opportunistic wireless networks

Perez-Romero

Palazzo

Galluccio

et al. 2012

The Newcom++ Vision Book

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Recent years have witnessed the evolution of a large plethora of wireless technologies with different characteristics, as a response of the operators' and users' needs in terms of an efficient and ubiquitous delivery of advanced multimedia services. The wireless segment of network infrastructure has penetrated in our lives, and wireless connectivity has now reached a state where it is considered to be an indispensable service as electricity or water supply. Wireless data networks grow increasingly complex as a multiplicity of wireless information terminals with sophisticated capabilities get embedded in the infrastructure.When looking at the horizon of the next decades, even more significant changes are expected, bringing the wireless world closer and closer to our daily life, which will definitely pose new challenges in the design of future wireless networks. In the following sections, a vision is briefly described on some of the envisaged elements that will guide this evolution, and that will definitely impact of the design of the network layers of wireless networks.In particular, and addressing a shorter term perspective, the paper starts in Section 1 with the implications of network heterogeneity on how wireless networks will be operated and perceived by the users, with the corresponding requirements for smart radio resource management strategies. Then, Section 2 will address the concept of self-organising networks, since it is expected that, due to the increase in complexity in future networks, together with the huge amount of parameters to be tuned for network optimisation, mechanisms are established to allow the self-configuration of a wireless network with minimum human intervention. Going a step further from the more classical cellular networks and their evolutions, the next sections address other types of wireless communications networks that are also envisaged to arise

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“…As a resource, spectrum is extremely valuable, and many licensees have invested heavily in acquiring their spectrum rights [7] [8]. Many are therefore very hesitant to allow sharing of their frequency bands with secondary "cognitive radio" users.…”

Section: Cognitive Radio and Dynamic Spectrum Allocationmentioning

confidence: 99%

QoS Performance Analysis of Cognitive Radio-Based Virtual Wireless Networks

Ishibashi

Bouabdallah

Boutaba

2008

2008 Proceedings IEEE INFOCOM - The 27th Conference on Computer Communications

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Abstract-Cognitive radio presents a new approach to wireless spectrum utilization and management. In this work, the potential performance improvement gained by applying cognitive radio to multiple-provider wireless systems is investigated. It is shown that virtual wireless networks can be created, utilizing only the residual wasted bandwidth of the primary service providers. These virtual networks are able to support large volumes of users, while still ensuring that QoS reliability requirements, such as blocking and dropping guarantees, are achieved. A Markov chain-based analysis of classic and cognitive systems is complemented by simulations in order to present a quantified perspective of the potential benefits of cognitive radio techniques.

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Regulatory and standardization aspects of DSA technologies - global requirements and perspective

Cited by 21 publications

References 0 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

Heterogeneous and opportunistic wireless networks

QoS Performance Analysis of Cognitive Radio-Based Virtual Wireless Networks

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