Marojevic, Vuk
Total activity: 57
Research group
GRCM - Mobile Communication Reserach Group
E-mail
vuk.marojevicestudiant.upc.edu
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Scientific and technological production
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1 to 50 of 57 results
  • Energy-efficient water-filling with order statistics

     Gómez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    IEEE transactions on vehicular technology
    Vol. 63, num. 1, p. 428-432
    DOI: 10.1109/TVT.2013.2271647
    Date of publication: 2014-01-01
    Journal article

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    This paper proposes a methodology based on order statistics to study the energy-efficient (EE) power allocation for wireless communication transmitters. Water-filling power allocation maximizes the EE when transmitting and processing power consumption is considered. Solutions are typically presented in an iterative form, which complicates analysis and adaptive implementation. Time-consuming simulations are rather required to assess their performance. Order statistics allows analyzing the solution without knowledge of the channel realization. We analytically show how the EE depends on the system parameters. The computing efficiency of our proposal, which is executing one or two orders of magnitude faster than the state-of-the-art algorithms with a performance loss of less than 1 dB, facilitates its applicability in vehicular environments.

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    Deployment and management of SDR cloud computing resources: problem definition and fundamental limits  Open access

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    Eurasip journal on wireless communication and networking
    Vol. 1, p. 1-11
    DOI: 10.1186/1687-1499-2013-59
    Date of publication: 2013-03
    Journal article

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    Software-defined radio (SDR) describes radio transceivers implemented in software that executes on general-purpose hardware. SDR combined with cloud computing technology will reshape the wireless access infrastructure, enabling computing resource sharing and centralized digital-signal processing (DSP). SDR clouds have different constraints than general-purpose grids or clouds: real-time response to user session requests and real-time execution of the corresponding DSP chains. This article addresses the SDR cloud computing resource management problem. We show that the maximum traffic load that a single resource allocator (RA) can handle is limited. It is a function of the RA complexity and the call setup delay and user blocking probability constraints. We derive the RA capacity analytically and provide numerical examples. The analysis demonstrates the fundamental tradeoffs between short call setup delays (few processors) and low blocking probability (many processors). The simulation results demonstrate the feasibility of a distributed resource management and the necessity of adapting the processor assignment to RAs according to the given traffic load distribution. These results provide new insights and guidelines for designing data centers and distributed resource management methods for SDR clouds.

  • Resource management implications and strategies for SDR clouds

     Gómez, Ismael; Gilabert Pinal, Pere Lluis; Montoro López, Gabriel; Gelonch Bosch, Antoni; Marojevic, Vuk
    Analog integrated circuits and signal processing
    Vol. 73, num. 2, p. 473-482
    DOI: 10.1007/s10470-012-9963-z
    Date of publication: 2012-09-19
    Journal article

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  • Processing-to-amplifier power ratio for energy efficient communications

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    Electronics Letters
    Vol. 48, num. 12, p. 732-734
    DOI: 10.1049/el.2011.3679
    Date of publication: 2012-06-07
    Journal article

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    The energy consumption of modern communications systems is dominated by the signal processing and shaping circuitry. Assuming a rate-independent processing power consumption, the energy per bit spent for signal processing can be effectively reduced by increasing the transmission power. The optimal relation between processing and transmission power for energy efficient communications is derived. This relation is called processing-to-amplifier power ratio (PrAPR).

  • Resource management for software-defined radio clouds

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    IEEE micro
    Vol. 32, num. 1, p. 44-53
    DOI: 10.1109/MM.2011.81
    Date of publication: 2012-02
    Journal article

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    Software-defined radio (SDR) clouds combine SDR concepts with cloud computing technology for designing and managing future base stations. They provide a scalable solution for the evolution of wireless communications. The authors focus on the resource management implications and propose a hierarchical approach for dynamically managing the real-time computing constraints of wireless communications systems that run on the SDR cloud.

  • Tools for analyzing computing resource management strategies and algorithms for SDR clouds

     Gomez Miguelez, Ismael; Gelonch Bosch, Antoni; Marojevic, Vuk
    Frequenz
    Vol. 66, num. 9-10, p. 241-249
    DOI: 10.1515/freq-2012-0046
    Date of publication: 2012
    Journal article

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    Software defined radio (SDR) clouds centralize the computing resources of base stations. The computing resource pool is shared between radio operators and dynamically loads and unloads digital signal processing chains for providing wireless communications services on demand. Each new user session request particularly requires the allocation of computing resources for executing the corresponding SDR transceivers. The huge amount of computing resources of SDR cloud data centers and the numerous session requests at certain hours of a day require an efficient computing resource management. We propose a hierarchical approach, where the data center is divided in clusters that are managed in a distributed way. This paper presents a set of computing resource management tools for analyzing computing resource management strategies and algorithms for SDR clouds. We use the tools for evaluating a different strategies and algorithms. The results show that more sophisticated algorithms can achieve higher resource occupations and that a tradeoff exists between cluster size and algorithm complexity.

  • Link adaptation for energy-efficient transmission with receiver CSI

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    IEEE communications letters
    Vol. 16, num. 9, p. 1412-1415
    DOI: 10.1109/LCOMM.2012.072012.120522
    Date of publication: 2012
    Journal article

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  • Cognitive resource management: for all wireless access layers

     Marojevic, Vuk; Gomez Miguelez, Ismael; Gelonch Bosch, Antoni
    IEEE Vehicular technology magazine: connecting the Mobile world
    Vol. 7, num. 2, p. 100-106
    DOI: 10.1109/MVT.2012.2190190
    Date of publication: 2012
    Journal article

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  • SDR receiver computational model for application in power control

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    Analog integrated circuits and signal processing
    Vol. 69, num. 2-3, p. 153-160
    DOI: 10.1007/s10470-011-9704-8
    Date of publication: 2011-12
    Journal article

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    Software-defined radio (SDR) permits dynamic switches of the employed radio access technology (RAT), over-the-air (OTA) software updates, software and hardware reuse. This extended flexibility comes at the price of a higher computing complexity and, in particular, the energy consumption at the receiver. The analysis of the computational profile of signal processing algorithms is of great importance in SDR for understanding the implication on the energy consumption. Several signal processing algorithms show a different profile as a function of the signal quality perceived at the receiver antenna. Therefore, power control policies have an implication on the computational performance of SDR receivers. Understanding the behaviour of these algorithms allows trading transmitted power against receiver energy consumption. This paper presents a model for characterizing the computational profile of Turbo and LDPC decoders and demonstrates is applicability in existing power control strategies.

  • ALOE: an open-source SDR execution environment with cognitive computing resource management capabilities

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    IEEE communications magazine
    Vol. 49, num. 9, p. 76-83
    DOI: 10.1109/MCOM.2011.6011737
    Date of publication: 2011-09
    Journal article

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    Future radio transceivers will offer more functionalities and system features for potentiating flexible and reconfigurable radio access networks. Since flexibility in this case comes at a price of computing resource overhead, we propose a conceptually simple though powerful framework for digital signal processing applications. The abstraction layer and operating environment (ALOE) is an open source execution environment for software-defined radios. It is essentially based on a hardware abstraction layer, a lightweight and time-driven software architecture, and a simple interface format. ALOE accounts for heterogeneous multiprocessor platforms. Its cognitive computing resource management capabilities enable flexible and dynamic management of SDR platforms and applications for distributed realtime execution of applications and dynamic reconfiguration of platforms.

  • Resource management strategies for SDR clouds

     Marojevic, Vuk; Gomez Miguelez, Ismael; Gilabert Pinal, Pere Lluis; Montoro López, Gabriel; Gelonch Bosch, Antoni
    Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio
    p. 162-168
    Presentation of work at congresses

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  • SDR tools and projects for electrical engineering education

     Marojevic, Vuk; Gomez Miguelez, Ismael; Arteaga, Xavier; Gilabert Pinal, Pere Lluis; Gelonch Bosch, Antoni
    Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio
    p. 356-362
    Presentation of work at congresses

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    This paper focuses on the software-defined radio (SDR) educational aspects. We describe a few recent SDR projects and tools that were developed as part of a graduate electrical engineering course at the School on Telecommunication and Aerospace Engineering (EETAC) in Castelldefels, Barcelona. EETAC is part of the Polytechnic University of Catalonia (UPC). It applies the project based learning (PBL) concept and offers technical and scientific courses in Telecommunication and Aerospace Science and Technology (BSc, MSc, and PhD). The tools we describe here offer hands-on experience on several basic and advanced SDR principles. We describe our experience and the lessons learned.

  • Analyzing the effect of power control algorithms on the receiver's computing resource consumption

     Gomez Miguelez, Ismael; Marojevic, Vuk; Salazar Hernández, Dagoberto José; Gelonch Bosch, Antoni
    Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio
    p. 1-6
    Presentation's date: 2010-12-01
    Presentation of work at congresses

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    Traditional Software-Defined Radios are limited in their ability to share the computational infrastructure between different channel flows of different demands. Future terminals should move to a shared resource model to further improve resource utilization and link availability. For this purpose, an accurate characterization and prediction of the consumed resources by a new user entering the cell is important. At the receiver side, iterative channel decoding algorithms, which exhibit the highest contribution of processing time and energy consumption, consume resources as a function of the signal quality. Therefore, power control has an impact on the computing resources of the receiver. This paper presents a model to characterize the available computing resources of a receiver. This model may be useful for utility-based power control algorithms.

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    SDR in undergraduate engineering education  Open access

     Marojevic, Vuk; Gomez Miguelez, Ismael; Olmos Bonafé, Juan José; Montoro López, Gabriel; Gelonch Bosch, Antoni
    Wireless Innovation Forum Conference on Communications Technologies and Software Defined Radio
    p. 1-6
    Presentation's date: 2010-11-30
    Presentation of work at congresses

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    Performance and overhead analysis of the ALOE middleware for SDR  Open access

     Gomez Miguelez, Ismael; Marojevic, Vuk; Bracke, Jordi; Gelonch Bosch, Antoni
    Military Communications Conference
    p. 1134-1139
    DOI: 10.1109/MILCOM.2010.5680093
    Presentation's date: 2010-11
    Presentation of work at congresses

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    Current Software-Defined Radio applications (waveforms) are tailored to specific hardware. Processor vendors frequently adapt internal OS mechanisms for its specific architecture (e.g. scheduling and synchronization). The Abstraction Layer and Operating Environment (ALOE) is an open source SDR operating environment that isolates platform architecture from the application design. An integrated resource manager is capable of automatically mapping waveform components to a network of heterogeneous processors while meeting the waveform’s real-time requirements. This paper analyzes the ALOE performance for x86 and ARM processors. It presents computing histograms of UTRAN transceiver components, the maximum achievable throughput of a simple BPSK modem, interface latencies, and overhead measurements of the ALOE background processes.

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    ALOE-based flexible LDPC decoder  Open access

     Gomez Miguelez, Ismael; Camatel, Massimo; Bracke, Jordi; Marojevic, Vuk; Gelonch Bosch, Antoni; Vacca, Fabrizio; Masera, Guido
    Euromicro Symposium on Digital Systems Design
    p. 314-320
    DOI: 10.1109/DSD.2010.107
    Presentation's date: 2010-09-01
    Presentation of work at congresses

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    Radio communications terminals and infrastructure tend to support an increasing range of algorithms and radio access technologies. Flexible processing platforms are therefore needed for supporting multistandard or heterogeneous radios. Channel decoding is one of the most computing demanding digital signal processing blocks of a radio transceiver. At the same time, it provides a high degree of implementation flexibility as well as facilitates dynamic parameter adjustments. This paper presents a flexible LDPC decoder implemented on an FPGA device following the ALOE middleware design paradigm. We analyse the middleware efficiency in terms of flexibility versus resource requirements. The results show a relative middleware area overhead of 32 %.

    Postprint (author’s final draft)

  • A real time emulator demonstrating advanced resource management solutions

     Gelonch Bosch, Antoni; Reves Balleste, Xavier; Marojevic, Vuk; Nasreddine, Jad Nayef; Pérez Romero, Jordi; Sallent Roig, Jose Oriol
    Wireless personal communications
    Vol. 54, num. 1, p. 123-136
    DOI: 10.1007/s11277-009-9710-7
    Date of publication: 2010-07
    Journal article

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    Automatic computing resource awareness in resource managers for cognitive radios  Open access

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    nternational Workshop on Cognitive Information Processing
    p. 122-127
    DOI: 10.1109/CIP.2010.5604229
    Presentation's date: 2010-06-14
    Presentation of work at congresses

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    With all the potential flexibility of software-defined radios, the flexibility of SDR terminals is currently limited to design time flexibility. The capacity of the platform in terms of processing resources and internal bandwidths is dimensioned for the range of supported functionalities. In a platform-independent design scenario, resource managers play the role of matching waveform demands with platform capabilities. Predicting the task execution times has been studied in grid and distributed computing contexts with different objectives and assumptions. Given the dynamic nature of waveform demands as a function of the radio environment, an accurate characterization of the consumed resources can increase the efficiency of resource management strategies. In the SDR context, this efficiency translates to less energy consumption and higher resource utilization. Based on our experience acquired during the development of an SDR execution environment, this work presents the metrics that are needed by computing resource managers.

  • Middleware extension for partial reconfiguration management in cognitive radios

     Gomez Miguelez, Ismael; Wang, Honhzhi; Nafkha, Amor; Marojevic, Vuk; Moy, Christophe; Leray, Pierre; Gelonch Bosch, Antoni
    Workshop on Software Radios
    p. 1-7
    Presentation's date: 2010-03-03
    Presentation of work at congresses

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    Today’s radio access technologies demand flexible, high performance and power-efficient computing. Software-defined radios offer a high degree of flexibility but their performance is limited in energy-constrained environments. Reconfigurable computers exhibit a good trade-off between performance and power consumption. The plethora of reconfigurable devices and architectures suggests using middleware with virtualization and resource management capabilities. Cognitive radios can take benefit of such a middleware approach for obtaining waveform resource demands and employing advanced resource management techniques. This paper compares two approaches for dynamic partial reconfiguration and their suitability for middleware. Our reconfiguration approaches are novel in the sense that they use an intermediate memory as a buffer to isolate the bitstream download from the actual reconfiguration. Performance and resource overhead is measured and analyzed for both approaches.

  • Computing resource management in software-defined and cognitive radios  Open access  awarded activity

     Marojevic, Vuk
    Department of Signal Theory and Communications, Universitat Politècnica de Catalunya
    Theses

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    Our research aims at contributing to the evolution of modern wireless communications and to the development of software-defined radio (SDR) and cognitive radio, in particular. It promotes a general resource management framework that facilitates the integration of computing and radio resource management. This dissertation discusses the need for computing resource management in software-defined and cognitive radios and introduces an SDR computing resource management framework with cognitive capabilities. The hard real-time computing requirements of software-defined digital signal processing chains (SDR applications), the associated radio propagation and quality of service (QoS) implications, and heterogeneous multiprocessor platforms with limited computing resources (SDR platforms) define the context of these studies. We examine heterogeneous computing techniques, multiprocessor mapping and scheduling in particular, and elaborate a flexible framework for the dynamic allocation and reallocation of computing resources for wireless communications. The framework should facilitate partial reconfigurations of SDR platforms, dynamic switches between radio access technologies (RATs), and service and QoS level adjustments as a function of the environmental conditions. It, therefore, assumes the facilities of the platform and hardware abstraction layer operating environment (P-HAL-OE). We suggest a modular framework, distinguishing between the computing system modeling and the computing resource management. Our modeling proposal is based on two computing resource management techniques, which facilitate managing the strict timing constraints of real-time systems. It is scalable and can account for many different hardware architectures and computing resource types. This work focuses on processing and interprocessor bandwidth resources and processing and data flow requirements. Our computing resource management approach consists of a general-purpose mapping algorithm and a cost function. The independence between the algorithm and the cost function facilitates implementing many different computing resource management policies. We introduce a dynamic programming based algorithm, the tw-mapping, where w controls the decision window. We present a general and parametric cost function, which guides the mapping process under the given resource constraints. An instance of it facilitates finding a mapping that meets all processing and data flow requirements of SDR applications with the available processing and bandwidth resources of SDR platforms. Several SDR reconfiguration scenarios and analyses based on simulations demonstrate the suitability and potentials of our framework for a flexible computing resource management. We extend our SDR computing resource management concepts to the cognitive radio context. The two primary objectives of cognitive radio are highly reliable communications whenever and wherever needed and the efficient use of the radio spectrum. We formulate a third objective as the efficient use of computing resources. We analyze the cognitive capabilities of our framework─the cognitive radio’s interface to SDR platforms─and indicate the potentials of our cognitive computing resource management proposal. The cognitive computing resource management needs to be coordinated with the radio resource management. We, therefore, introduce the joint resource management concept for cognitive radios. We present three cognitive cycles and discuss several interrelations between the radio, computing, and application resources, where application resources refer to the available SDR and user applications. Our approach potentiates flexibility and facilitates radio against computing resource tradeoffs. It promotes cognition at all layers of the wireless system for a cooperative or integrated resource management that may increase the performance and efficiency of wireless communications.

    El objetivo de las investigaciones que se están llevando a cabo dentro del grupo de investigación es contribuir a la evolución de las radiocomunicaciones modernas y, en particular, al desarrollo de los conceptos software radio (SDR) y cognitive radio. El planteamiento general es el de extender la flexibilidad global del sistema de comunicaciones planteando la definición y desarrollo de un entorno en el que pudiesen explorarse las relaciones entre la computación y las prestaciones del sistema de comunicaciones móviles facilitando la integración de los recursos de computación con los recursos radio. Dentro de este marco, la presente tesis plantea la discusión de la necesidad de la gestión de los recursos de computación en entornos SDR y cognitive radio y define un entorno de operación que asume las características especificas del concepto SDR a la vez que incorpora capacidades cognitivas en la gestión de los recursos de computación de las plataformas que den soporte a las nuevas generaciones de sistemas móviles. Los estrictos requerimientos de procesado en tiempo real de las cadenas de procesado digital de la señal definidas por software (aplicaciones SDR), las implicaciones asociadas con la propagación radio y el concepto de calidad de servicio (QoS) y plataformas heterogéneas de múltiples procesadores con recursos de computo limitados (plataformas SDR) definen el contexto de estos estudios. Se examinan técnicas de cómputo de propósito general para definir un entorno de operación que fuese capaz de asignar de forma flexible y dinámica los recursos de cómputo necesarios para facilitar las radiocomunicaciones a los niveles de QoS deseados. Ello debería facilitar los cambios dinámicos de una tecnología de acceso radio a otra, permitiendo el ajuste del tipo de servicio o calidad de servicio en función de las preferencias de los usuarios y las condiciones del entorno. Dicho entorno de operación asume las potencialidades del platform and hardware abstraction layer operating environment (P-HAL-OE). La estructura del entorno de operación se define de forma modular y consiste en un modelado genérico y flexible de las plataformas de computación SDR y en una gestión de recursos de computación abierta y capaz de ajustarse a diferentes objetivos y políticas. En el trabajo se exponen dos técnicas de gestión que pretenden asegurar la consecución estricta de los límites temporales típicos de los sistemas en tiempo real. En cuanto al modelado, este es escalable y capaz de capturar un amplio abanico de arquitecturas hardware y recursos de computación. En el presente trabajo nos centramos en los recursos y requerimientos del procesado y transferencia de datos. Se introduce un algoritmo de mapeo genérico e independiente de la función de coste. La independencia entre el algoritmo y la función de coste facilita la implementación de diferentes políticas de gestión de recursos computacionales. El tw-mapping es un algoritmo basado en dynamic programming, donde w controla la ventana de decisión. Se presenta una función de coste genérica y parametrizable que permite guiar el proceso de gestión de los recursos. Una instancia de ella facilita encontrar una solución al proceso de asignación de recursos que cumpla todos los requerimientos de procesado y trasferencia de datos de las aplicaciones SDR con los recursos disponibles de las plataformas SDR. Diferentes escenarios y varios análisis basados en simulaciones demuestran la adecuación del entorno de trabajo definido y desarrollado, así como sus potencialidades para una gestión flexible de los recursos de cómputo. Se extienden los conceptos mencionados previamente para entornos cognitive radio. Los principales objetivos del concepto cognitive radio son la disponibilidad de comunicaciones altamente robustas en cualquier lugar y momento en que sean necesarias y el uso eficiente del espectro. Como tercer objetivo formulamos el uso eficiente de los recursos de cómputo. Analizamos las capacidades cognitivas de nuestro entorno de operación─la interfaz del sistema cognitive radio a las plataformas SDR─y resaltamos las potencialidades de nuestra propuesta de gestión cognitiva de los recursos computacionales. Dicha gestión cognitiva de los recursos computacionales plantea una integración con la gestión de los recursos radio. Para ello introducimos el concepto de gestión de recursos conjunta para entornos cognitive radio. Se presentan tres ciclos cognitivos y se discuten algunas interrelaciones entre los recursos radio, de cómputo y de aplicación, donde los recursos de aplicación se refieren a las aplicaciones SDR y de usuario disponibles. Nuestra propuesta de gestión de recursos conjunta potencia la flexibilidad y facilita los intercambios entre recursos radio y de computación

  • GRUP DE RECERCA EN COMUNICACIONS MÒBILS

     Bolea, Liliana; Sanchez Gonzalez, Juan; Casadevall Palacio, Fernando-jose; Marojevic, Vuk; Umbert Juliana, Anna; Pérez Romero, Jordi; Gelonch Bosch, Antoni; Ferrús Ferré, Ramon; Sallent Roig, Jose Oriol; Bouali, Faouzi; Agusti Comes, Ramon
    Competitive project

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  • Flexible Wireless Communication Systems and Networks (FLEXNets)

     Gomez Miguelez, Ismael; Marojevic, Vuk; Gelonch Bosch, Antoni
    European Reconfigurable Radio Technologies Workshop and Product Exposition
    p. 1-24
    Presentation's date: 2009-04-22
    Presentation of work at congresses

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  • An open computing resource management framework for real-time computing

     Marojevic, Vuk; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    The 15th annual IEEE International Conference on High Performance Computing
    p. 169-182
    DOI: 10.1007/978-3-540-89894-8
    Presentation's date: 2008-12
    Presentation of work at congresses

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  • A computing resource management framework for software-defined radios

     Marojevic, Vuk; Balleste, X R
    IEEE transactions on computers
    Vol. 57, num. 10, p. 1399-1412
    DOI: 10.1109/TC.2008.83
    Date of publication: 2008-10
    Journal article

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  • A Computing Resource Management Framework for Software-Defined Radios

     Marojevic, Vuk; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    IEEE transactions on computers
    Vol. 57, num. 10, p. 1399-1412
    DOI: 10.1109/TC.2008.83
    Date of publication: 2008-10
    Journal article

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  • An Open Computing Resource Management Framework for Real-Time Computing

     Reves, X; Gelonch Bosch, Antoni; Marojevic, Vuk
    Lecture notes in computer science
    Vol. 5374, p. 169-182
    Date of publication: 2008-01
    Journal article

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  • NEWCOM++ (Network of Excellence in Wireless Communications)

     Pérez Romero, Jordi; Umbert Juliana, Anna; Agusti Comes, Ramon; Casadevall Palacio, Fernando-jose; Sallent Roig, Jose Oriol; Ferrús Ferré, Ramon; López Benítez, Miguel; Bezerra Rodrigues, Emanuel; Gelonch Bosch, Antoni; Marojevic, Vuk; Gomez Miguelez, Ismael; Pérez Neira, Ana Isabel; Pascual Iserte, Antonio; Najar Marton, Montserrat
    Competitive project

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  • Dynamic mapping of waveforms within the PHAL execution environment

     Marojevic, Vuk; Gomez Miguelez, Ismael; Salazar Velazquez, Jose Alfredo; Gelonch Bosch, Antoni
    SDR'08 - Technical Conference and Product Exposition
    p. 1-5
    Presentation of work at congresses

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  • Resource modeling for a joint resource management in cognitive radio

     Marojevic, Vuk; Salazar Velazquez, Jose Alfredo; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    ICC 2008
    p. 4175-4180
    Presentation of work at congresses

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  • Computing system modeling for flexible radios

     Marojevic, Vuk; Salazar Velazquez, Jose Alfredo; Gomez Miguelez, Ismael; Gelonch Bosch, Antoni
    5th Karlsruhe Workshop on Software Radios
    p. 35-41
    Presentation of work at congresses

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  • A lightweight operating environment for next generation cognitive radios

     Gomez Miguelez, Ismael; Marojevic, Vuk; Salazar Velazquez, Jose Alfredo; Gelonch Bosch, Antoni
    11th Euromicro Conf. Digital Systems Design Architectures, Methods and Tools
    p. 47-52
    Presentation of work at congresses

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  • A real time emulator demonstrating advanced resource management solutions

     Marojevic, Vuk
    International Conference on Wireless Personal Multimedia Communications
    Presentation's date: 2007-12-05
    Presentation of work at congresses

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  • On integrating radio, computing, and application resource management in cognitive radio systems

     Marojevic, Vuk
    IEEE International Conference on Wireless and Mobile Computing
    Presentation's date: 2007-10-10
    Presentation of work at congresses

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  • Cognitive computing resource management for a ubiquitous wireless access

     Marojevic, Vuk
    4th International Conference on Ubiquitous Intelligence and Computing
    Presentation's date: 2007-07-13
    Presentation of work at congresses

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  • Integrated resource management in cognitive radio

     Marojevic, Vuk
    16th IST Mobile & Wireless Communication Summit
    Presentation's date: 2007-07-02
    Presentation of work at congresses

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  • Cooperative Resource Management in Cognitive Radio

     Marojevic, Vuk
    IEEE International Conference on Communications
    Presentation's date: 2007-06-27
    Presentation of work at congresses

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  • On integrating radio, computing, and application resource management in cognitive radio systems

     Marojevic, Vuk; Salazar Velazquez, Jose Alfredo; Reves, X; Gelonch Bosch, Antoni
    IEEE International Conference on Wireless and Mobile Computing
    p. 1-8
    Presentation of work at congresses

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  • Integrated resource management in cognitive radio

     Marojevic, Vuk; Vucevic, Nemanja; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    16th IST Mobile & Wireless Communication Summit
    p. 1-5
    Presentation of work at congresses

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  • Cooperative Resource Management in Cognitive Radio

     Marojevic, Vuk; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    IEEE International Conference on Communications
    p. 5939-5944
    Presentation of work at congresses

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  • Cognitive computing resource management for a ubiquitous wireless access

     Marojevic, Vuk; Vucevic, Nemanja; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    4th International Conference on Ubiquitous Intelligence and Computing
    p. 808-818
    Presentation of work at congresses

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  • Computing resources in flexible radio environments

     Salazar Velazquez, Jose Alfredo; Marojevic, Vuk; Gomez Miguelez, Ismael; Gelonch Bosch, Antoni
    Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
    p. 1-5
    Presentation of work at congresses

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  • A real time emulator demonstrating advanced resource management solutions

     Gelonch Bosch, Antoni; Reves, X; Marojevic, Vuk; Nasreddine, Jad Nayef; Pérez Romero, Jordi; Sallent Roig, Jose Oriol
    International Conference on Wireless Personal Multimedia Communications
    p. 1-5
    Presentation of work at congresses

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  • TEC2006-09109 COGNITIVE RADIO (MARCO SOTFWARE RADIO) Y REDES MOVILES HETEROGENEAS

     Gelonch Bosch, Antoni; Ferrús Ferré, Ramon; Valenzuela Gonzalez, Jose Luis; Pérez Diaz de Cerio, David; Ruiz Boque, Silvia; Marojevic, Vuk; Agusti Comes, Ramon
    Competitive project

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  • Access to the full text
    Dynamic resource allocation in software-defined radio - The interrelation between platform architecture and application mapping  Open access

     Marojevic, Vuk; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    Frequenz
    p. 167-170
    Date of publication: 2006-09
    Journal article

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  • Software radios: unifying the reconfiguration process over heterogeneous platfroms

     Reves Balleste, Xavier; Marojevic, Vuk; Ferrús Ferré, Ramon
    Eurasip Journal on Applied Signal Processing
    Vol. 2005, num. 16, p. 2626-2640
    Date of publication: 2005-09
    Journal article

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  • FPGA's middleware for software defined radio applications

     Reves Balleste, Xavier; Marojevic, Vuk; Ferrús Ferré, Ramon; Gelonch Bosch, Antoni
    2005 International Conference on Field Programmable Logic and Applications
    p. 598-601
    Presentation's date: 2005-08
    Presentation of work at congresses

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  • Software radios: unifying the reconfiguration process over heterogeneous platforms

     Reves Balleste, Xavier; Gelonch Bosch, Antoni; Marojevic, Vuk; Ferrús Ferré, Ramon
    Eurasip journal on advances in signal processing
    Vol. 16, p. 2626-2640
    Date of publication: 2005-01
    Journal article

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  • Computing Resource Management for SDR Platforms

     Marojevic, Vuk; Reves Balleste, Xavier; Gelonch Bosch, Antoni
    IEEE International Symposium on Personal Indoor and Mobile Radio Communications
    p. 1-5
    Presentation of work at congresses

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  • P-HAL: A Reconfiguration Framework

     Reves Balleste, Xavier; Majorevic, Vuk; Gelonch Bosch, Antoni; Marojevic, Vuk
    Wireless World Research Forum 15
    p. 1-7
    Presentation of work at congresses

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  • P-HAL: a middleware for SDR applications

     Gelonch Bosch, Antoni; Reves Balleste, Xavier; Marojevic, Vuk; Ferrús Ferré, Ramon
    2005 Software Defined Radio Technical Conference and Product Exposition
    p. 1-5
    Presentation of work at congresses

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