Alex Vizcaino Luna

Alex Vizcaino Luna

Reus, Cataluña, España
394 seguidores 393 contactos

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Telecommunication Engineer - Universitat Politècnica de Catalunya.

Dual Master in…

Actividad

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Experiencia

  • Gráfico Writefull
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    Barcelona

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    Barcelona

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    Reus

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    Salou (Tarragona)

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    Vila-seca (Tarragona)

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    Vila-seca (Tarragona)

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    Vila-seca (Tarragona)

Educación

Licencias y certificaciones

Publicaciones

  • Closing the gap between traffic workload and channel occupancy models for 802.11 networks

    Kugliga Tekniska Högskolan

    The modeling of wireless network traffic is necessary to evaluate the possible gains of spectrum sharing and to support the design of new cognitive protocols that can use spectrum efficiently in network environments where diverse technologies coexist. In this paper we focus on IEEE 802.11 wireless local area networks and close the gap between two popular levels of modeling, macroscopic traffic workload modeling and microscopic channel occupancy modeling. We consider traffic streams generated by…

    The modeling of wireless network traffic is necessary to evaluate the possible gains of spectrum sharing and to support the design of new cognitive protocols that can use spectrum efficiently in network environments where diverse technologies coexist. In this paper we focus on IEEE 802.11 wireless local area networks and close the gap between two popular levels of modeling, macroscopic traffic workload modeling and microscopic channel occupancy modeling. We consider traffic streams generated by established traffic workload models and characterize the networking scenarios where a simple, semi-Markovian channel occupancy model accurately predicts the wireless channel usage. Our results demonstrate that the proposed channel occupancy model can capture the channel idle time distribution in most of the scenarios, while the Markovian assumption cannot be validated in all cases.

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  • WLAN Channel Occupancy Modeling and Validation

    Kungliga Tekniska Högskolan

    Swedish Communication Technologies Workshop (Swe‐CTW 2013); Chalmers University of Technology, Gothenburg, 21-23 August, 2013

    Otros autores
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  • Characterizing WLAN Channel Occupancy for Cognitive Networking

    Kungliga Tekniska Högskolan

    The deployment of heterogeneous wireless networks in the same spectrum space introduces the need for dynamic spectrum access so as to increase the utilization of the available wireless resources. Dynamic spectrum access needs to be controlled in order avoid interference between the users of different systems. Different schemes can be used in order to avoid the mutual interference between the systems: orthogonality in space, frequency or time. In this thesis we address the problem with a…

    The deployment of heterogeneous wireless networks in the same spectrum space introduces the need for dynamic spectrum access so as to increase the utilization of the available wireless resources. Dynamic spectrum access needs to be controlled in order avoid interference between the users of different systems. Different schemes can be used in order to avoid the mutual interference between the systems: orthogonality in space, frequency or time. In this thesis we address the problem with a solution based on time orthogonality, in which the coexisting wirless systems are a WLAN and WSN.

    Due to the high power asymmetry it is necessary to implement a cognitive capability in the most affected system, i.e. the WSN, which will predict the behaviour of the WLAN spectrum usage and take advantage of the white spaces left for WSN interference-free communication. For this, it is necessary to model the traffic of the WLAN system. The applicability of two different semi-Markovian models has been studied in the scope of this thesis: one represents an ideal case in which the sensors have unlimited sensing capabilities and a second, more realistic, approach in which the sensor view is limited by hardware and resources. In this project we investigate whether and when the proposed models are suitable to be used in order to model, estimate and predict realistic WLAN channel usage; for that we consider a measurement-based, multi-layer WLAN traffic workload model.

    Different experiments have been developed to test different traffic scenarios in which we apply our prediction model. The experiments show that the WLAN usage estimation process is robust, i.e. insensitive to irregularities introduced by the packet level randomization and the underlying protocols in the WLAN. An almost perfect fitting is achieved in a wide range of cases between the distributions to model the active and idle periods and the empirically derived channel usage functions. In addition, we study different usage ...

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Cursos

  • Electronic Instrumentation

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  • Management of Networks and Networked Systems

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  • Network Services and Systems

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  • Optical Wired Networks

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  • Performance Analysis of Communication Networks

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  • Project in Wireless Networks

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  • Wireless Communication Networks

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Proyectos

Idiomas

  • Spanish

    Competencia bilingüe o nativa

  • Catalan

    Competencia bilingüe o nativa

  • English

    Competencia profesional completa

  • Swedish

    Competencia básica

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