Bouali, Faouzi
Total activity: 22
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GRCM - Mobile Communication Reserach Group
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faouzi.boualiestudiant.upc.edu
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  • A cognitive management framework for spectrum selection

     Bouali, Faouzi; Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Agusti Comes, Ramon
    Computer networks
    Date of publication: 2013-10-04
    Journal article

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    To increase cognitive radio (CR) operation efficiency, there has been an interest in enhancing the awareness level of spectrum utilization. In this context, this paper builds a new cognitive management functional architecture for spectrum selection (SS). It relies on a knowledge manager (KM) retaining a set of advanced statistics that track the suitability of spectral resources to support a set of heterogeneous applications under varying interference conditions. Based on this architecture, a novel proactive strategy is proposed for both SS and spectrum mobility (SM) functionalities. The required interactions between the proposed decision-making processes are described, and their capability to exhibit robustness to unexpected changes in the radio environment is highlighted. The results show that the proposed strategy efficiently exploits the KM support for low loads, while the SM functionality introduces significant gains for high loads with respect to other strategies. Finally, to assess the practicality of the proposed approach, the signaling requirements in the radio interface are evaluated. © 2013 Elsevier B.V. All rights reserved.

  • A fittingness factor-based spectrum management framework for cognitive radio networks

     Bouali, Faouzi; Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Agusti Comes, Ramon
    Wireless personal communications
    Date of publication: 2013-03
    Journal article

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    In order to increase cognitive radios (CRs) operation efficiency, there has been an increasing interest in strengthening awareness level about spectrum utilisation. In this respect, this paper proposes to exploit the fittingness factor concept to capture the suitability of spectral resources exhibiting time-varying characteristics to support a set of heterogeneous CR applications. First, a new knowledge management functional architecture for optimizing spectrum management has been constructed. It integrates a set of advanced statistics capturing the influence of the dynamic radio environment on the fittingness factor. Then, a knowledge manager (KM) exploiting these statistics to monitor time-varying suitability of spectrum resources has been proposed to support the spectrum selection (SS) decision-making process. In particular, a new Fittingness Factor-based strategy combining two SS and spectrum mobility (SM) functionalities has been proposed, following either a greedy or a proactive approach. Results have shown that, with a proper fittingness factor function, the greedy approach efficiently exploits the KM support at low loads and the SM functionality at high loads to introduce significant gains in terms of the user dissatisfaction probability. The proactive approach has been shown to maintain the introduced performance gain while minimizing the signalling requirements in terms of spectrum handover rate.

  • Exploiting knowledge management for supporting multi-band spectrum selection in non-stationary environments

     Bouali, Faouzi; Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Agusti Comes, Ramon
    IEEE transactions on wireless communications
    Date of publication: 2013-12
    Journal article

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    This paper proposes a new knowledge management framework for spectrum selection under non-stationary conditions supporting a set of applications with heterogeneous requirements. In this respect, an optimization problem is formulated to maximize an aggregate utility function that captures the suitability of spectrum portions with respect to the various application requirements and a set of preferences for using the different spectrum bands. Motivated by the practical limitations when solving the considered problem directly, an alternative solution is proposed. It exploits a statistical characterization of the environment retained in the knowledge database of the proposed framework. To cope with the non-stationarity of the environment, a reliability tester is proposed to detect relevant changes in radio conditions, and update database statistics accordingly. Then, a knowledge manager exploiting these statistics is developed to monitor the time-varying suitability of spectrum resources. Based on this, a novel spectrum management is proposed to approximate the optimal solution of the considered problem. The results obtained in a realistic digital home reveal that, under stationary conditions, the proposed strategy performs very close to the optimal solution with much less requirements in terms of spectrum reconfiguration and measurement reporting. Furthermore, thanks to the reliability tester support, substantial robustness is shown when interference conditions become non-stationary, thus proving the practicality of the proposed solution.

  • Contribution to Spectrum Management in Cognitive Radio Networks: A Cognitive Management Framework  Open access

     Bouali, Faouzi
    Defense's date: 2013-09-26
    Department of Signal Theory and Communications, Universitat Politècnica de Catalunya
    Theses

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    A fin de subir la eficiencia de uso del espectro, el paradigma de la radio cognitiva (CR) ha ganado mucho interés para permitir un acceso dinámico al espectro (DSA). En esta línea, las redes radio cognitivas (CRNs) se han enriquecido de un soporte de gestión cognitiva para incitar su despliegue y comercialización. Esta tesis ha valorado la relevancia de explotar varias funcionalidades de gestión cognitiva en distintos escenarios y casos de estudio prácticos.Específicamente, esta tesis ha construido un marco genérico de gestión cognitiva, basado en el concepto de fittigness factor, para soportar la gestión de los recursos radio en las CRNs. En este marco, dos de las aplicaciones más interesantes de las CRs, a saber el acceso oportunista al espectro (OSA) de las bandas licenciadas y el reparto abierto de las bandas exentas de licencia. En lo que se refiere a la primera aplicación, se han propuesto y evaluado varias estrategias explotando la dependencia entre las duraciones de actividad e inactividad de los usuarios primarios para llevar a cabo una selección de espectro proactiva. También se han proporcionado una serie de directrices para escoger la estrategia más relevante para un cierto entorno. Con respecto a la segunda aplicación, se ha propuesto una estrategia de selección de espectro con el fin de proporcionar una utilización eficiente de las distintas bandas. Varias formulaciones del fittigness factor han sido propuestas y evaluadas y sus relevancias se han valorado para distintas configuraciones.Inspirándose en estas aplicaciones, se ha propuesto una estrategia proactiva más general para soportar de manera conjunta las funcionalidades de selección de espectro (SS) y movilidad de espectro (SM) a base de una caracterización de los recursos de espectro en ambos dominios temporal y espectral. Se han comparado varias variantes de la dicha estrategia, cada una combinando distintas alternativas y opciones de implementación, para identificar cuáles de sus componentes tiene el mayor impacto sobre el rendimiento según las condiciones operativas del CRN. La racionalidad de la metodología propuesta con respecto a otras estrategias ha sido evaluada gracias a un análisis coste-beneficio, confrontando la ganancia en términos del nivel de satisfacción de los usuarios con el coste resultante en términos de señalización.Finalmente, se han analizado los aspectos de practicidad en términos de robustez a la incertidumbre y aplicabilidad en entornos realistas. En lo que se refiere al primer aspecto, la robustez se ha evaluado frente a dos fuentes de incertidumbre, la imperfección del proceso de adquisición y la no estacionalidad del entorno, y se han propuesto funcionalidades de soporte para mejorar la robustez cuando sea necesario. En lo que concierne el segundo aspecto, el marco se ha aplicado al entorno hogar digital (DH) para valorar la validez de los resultados obtenidos bajo condiciones más realistas.

    To overcome the current under-utilization of spectrum resources, the CR (Cognitive Radio) paradigm has gained an increasing interest to perform the so-called Dynamic Spectrum Access (DSA). In this respect, Cognitive Radio networks (CRNs) have been strengthened with cognitive management support to push forward their deployment and commercialization. This dissertation has assessed the relevance of exploiting several cognitive management functionalities in various scenarios and case studies. Specifically, this dissertation has constructed a generic cognitive management framework, based on the fittingness factor concept, to support spectrum management in CRNs. Under this framework, the dissertation has addressed two of the most promising CR applications, namely an Opportunistic Spectrum Access (OSA) to licensed bands and open sharing of license-exempt bands. In the former application, several strategies that exploit temporal statistical dependence between primary activity/inactivity durations to perform a proactive spectrum selection have been discussed. A set of guidelines to select the most relevant strategy for a given environment have been provided. In the latter application, a fittingness factor-based spectrum selection strategy has been proposed to efficiency exploit the different bands. Several formulations of the fittingness factor have been compared, and their relevance have been assessed under different settings. Drawing inspiration from these applications, a more general proactive strategy exploiting a characterization of spectrum resources at both the time and frequency domains has been developed to jointly assist spectrum selection (SS) and spectrum mobility (SM) functionalities. Several variants of the proposed strategy, each combining different choices and options of implementation, have been compared to identify which of its components have the most significant impact on performance depending on the working conditions of the CRN. To assess rationality of the proposed strategy with respect to other strategies, a cost-benefit analysis has been conducted to confront the introduced gain in terms of user satisfaction level to the incurred cost in terms of signaling amount. Finally, the dissertation has conducted an analysis of practicality aspects in terms of robustness to environment uncertainty and applicability to realistic environments. With respect to the former aspect, robustness has been assessed in front of two sources of uncertainty, namely imperfection of the acquisition process and non-stationarity of the environment, and additional functionalities have been developed, when needed, to improve robustness. With respect to the latter, the proposed framework has been applied to a Digital Home (DH) environment to validate the obtained key findings under realistic conditions.

  • Knowledge management framework for robust cognitive radio operation in non-stationary environments

     Bouali, Faouzi; Sallent Roig, Jose Oriol; Pérez Romero, Jordi
    IEEE International Symposium on Personal Indoor and Mobile Radio Communications
    Presentation's date: 2013-09
    Presentation of work at congresses

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    To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum management in non-stationary environments. It includes a reliability tester module that detects, based on hypothesis testing, relevant changes in suitability levels of spectrum resources to support a set of heterogeneous applications. These changes are captured through a set of advanced statistics stored in a knowledge database and exploited by a proactive spectrum management strategy to assist both spectrum selection and spectrum mobility functionalities. The results reveal that the proposed reliability tester is able to disregard the changes due to the intrinsic randomness of the radio environment and to efficiently detect actual changes in interference conditions of spectrum pools. Thanks to this support, the proposed spectrum management strategy exhibits substantial robustness when the environment becomes non-stationary, obtaining performance improvements of up to 75% with respect to the reference case that does not make use of the reliability tester functionality.

    To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum management in non-stationary environments. It includes a reliability tester module that detects, based on hypothesis testing, relevant changes in suitability levels of spectrum resources to support a set of heterogeneous applications. These changes are captured through a set of advanced statistics stored in a knowledge database and exploited by a proactive spectrum management strategy to assist both spectrum selection and spectrum mobility functionalities. The results reveal that the proposed reliability tester is able to disregard the changes due to the intrinsic randomness of the radio environment and to efficiently detect actual changes in interference conditions of spectrum pools. Thanks to this support, the proposed spectrum management strategy exhibits substantial robustness when the environment becomes non-stationary, obtaining performance improvements of up to 75% with respect to the reference case that does not make use of the reliability tester functionality.

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    Performance evaluation of synergic operation of algorithms enabling opportunistic networks - D4.3  Open access

     Pérez Romero, Jordi; Sallent Roig, Jose Oriol; Bouali, Faouzi; Ferrús Ferré, Ramon; Agusti Comes, Ramon; Gebert, Jens; Fuchs, Rolf; Demestichas, Panagiotis; Georgakopoulos, Andreas; Stavroulaki, Vera; Kritikou, Yiouli; Tzifa, Lia; Koutsouris, Nikos; Karvounas, Dimitrios; Logothetis, Marios; Sarli, Asimina; Papadopoulou, Louisa-Magdalene; Galani, Aristi; Vlacheas, Panagiotis; Morakos, Petros; Antzoulatos, Alexandros; Tosic, Milenko; Boskovic, Dragan; Chen, Xianfu; Pega, Stéphane; Bourdellès, Michel; Vahid, Seiamak; Bagayoko, Abdoulaye; Mouton, Christian; Delsol, Thomas; Panaitopol, Dorin; Ainwaimi, Ghassan; Tsagkaris, Kostas; Sarvanko, Heli; Cirilovic, Mirko; Riaz, Maryam; Lee, Haeyoung; Moreno, Oscar; Bantouna, Aimilia
    Date: 2012-12-31
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    Deliverable D4.3 del projecte OneFIT

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    D5.2 - Evaluation of selected measurement-based techniques  Open access

     Pérez Romero, Jordi; Akyildiz, Ian F.; Agusti Comes, Ramon; Sallent Roig, Jose Oriol; Bouali, Faouzi; Achtzehn, Andreas; Li, Xia; Mähönen, Petri; Nasreddine, Jad; Riihijärvi, Janne; Zalonis, Andreas; Dimitriou, Nikos; Polydoros, Andreas; Iacobelli, Lorenzo; Le Martret, Christophe; Herry, Sebastien; Cai, Tao; Farnham, Tim; Cao, Fengming; Subramani, Siva
    Date: 2012-02
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    Deliverable D5.2 del projecte FARAMIR

  • Performance assessment & synergic operation of algorithmic solutions enabling opportunistic networks¿ D4.2

     Pérez Romero, Jordi; Sallent Roig, Jose Oriol; Bouali, Faouzi; Ferrús Ferré, Ramon; Karvounas, Dimitrios; Georgakopoulos, Andreas; Stavroulaki, Vera; Demestichas, Panagiotis; Tosic, Milenko; Boskovic, Dragan; Matinmikko, Marja; Fuchs, Rolf; Gebert, Jens; Vahid, Seiamak; Bourdellès, Michel; Riaz, Maryam; Alnwaimi, Ghassan; Shariat, Shahin; Bagayoko, Abdoulaye; Mouton, Christian; Rakotoharison, Lanto; Tsagkaris, Kostas; Sarvanko, Heli; Panaitopol, Dorin; Lee, Haeyoung; Moreno, Oscar
    Date: 2012-06
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    Protocols, performance assessment and consolidation on interfaces for standardization ¿ D3.3  Open access

     Filo, Marcin; Wierzbowsi, Tomasz; Gebert, Jens; Wich, Andreas; Jactat, Caroline; Lécroart, Benoit; Mouton, Christian; Haeyoung, Lee; Vahid, Seiamak; Bouali, Faouzi; Ferrús Ferré, Ramon; Pérez Romero, Jordi; Sallent Roig, Jose Oriol; Demestichas, Panagiotis; Georgakopoulos, Andreas; Karvounas, Dimitrios; Koutsouris, Nikos; Stavroulaki, Vera; Tsagkaris, Kostas; Matinmikko, Marja; Sarvanko, Heli
    Date: 2012-06
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    The following document presents a detailed description of the protocol for the “ Control Channels for the Cooperation of the Cognitive Management System ” (C4MS) which provides the necessary means to enable proper management of Opportunistic Networks. Additionally, the document defines the methodology that was applied for the purpose of signalling evaluation. The protocol overview presented in section 2 of the main document, provides the C4MS principles. The section includes, among others, the description of the protocol identifiers, procedures, protocol state machines and message format as well as the security asp ects. Section 3 provides a high-level description of the data structures defined within the scope of OneFIT project. The data structures are classified into five categories, i.e.: Profiles, Context, Decisions,Knowledge and Policies. The high level description is complemented by some detailed data structures in the Appendix to D3.3 Section 3[10]. Section 4 provides details on the evaluation methodology applied for the purpose of C4MS performance assessment. The section presents the evaluation plan along with a description of metrics that are to be exploited in the scope of WP3. Section 5 and Section 6 are composed of the signalling evaluation results. Section 5 focuses on the estimation of the signalling load imposed by ON management in different ON phases. Additionally some results for the initialization phase (not explicitly mentioned in the previous phases of the project)and security related aspects are also depicted. Section 6 on the other hand is focused on the evaluation of the signalling traffic generated by different ON related algorithms. Conclusions to the document are drawn in section 7. Detailed description of the C4MS procedures, implementation options based on IEEE 802.21, DIAMTER and 3GPP are depicted in the appendix to the D3.3[10] . Additionally, the appendix incorporates the detailed definition of the information data structures and final set of Message Sequence Charts (MSCs) provided for the OneFIT project.

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    A Spectrum selection framework for opportunistic networks  Open access

     Pérez Romero, Jordi; Sallent Roig, Jose Oriol; Bouali, Faouzi; Sarvanko, Heli; Matinmikko, Marja; Mustonen, Miia; Lee, Haeyoung; Moessner, Klaus; Vahid, Seiamak
    Future Network and MobileSummit
    Presentation's date: 2012-07-05
    Presentation of work at congresses

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    This paper presents a framework for including cognitive management functionalities in the spectrum selection process for Opportunistic Networks (ONs).The framework is based on a decision making functionality interacting with a knowledge management block that stores and processes information about the spectrum use. Different approaches for spectrum selection are discussed covering specific cases including the capability to aggregate different bands and the possibility to jointly select the spectrum and the network interface. Illustrative results of the proposed framework are presented.

  • Exploiting knowledge management for supporting spectrum selection in cognitive radio networks

     Pérez Romero, Jordi; Bouali, Faouzi; Sallent Roig, Jose Oriol; Agusti Comes, Ramon
    International Conference on Cognitive Radio Oriented Wireless Networks
    Presentation's date: 2012-06-19
    Presentation of work at congresses

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    Abstract—In order to increase Cognitive Radio operation efficiency, this paper builds up a new knowledge management functional architecture for supporting spectrum management. It integrates the fittingness factor concept proposed by the authors in a prior work and includes a set of advanced statistics capturing the influence of the radio environment. Then, a Knowledge Manager (KM) exploiting these statistics and observed fittingness factor values has been developed to monitor the time-varying suitability of spectrum resources to support heterogeneous services. Based on estimated suitability levels, a new strategy combining Spectrum Selection (SS) and Spectrum Mobility (SM) functionalities has been proposed. Results have shown that the proposed strategy efficiently exploits the KM support at low loads and the SM functionality at high loads to introduce significant gains (ranging from 85% to 100%) w.r.t. a pure random selection while exhibiting substantial robustness to changes in interference levels.

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    Formulations and identification of algorithmic solutions for enabling opportunistic networks - M4.1  Open access

     Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Bouali, Faouzi; Ferrús Ferré, Ramon; Agusti Comes, Ramon; Logothetis, Marios; Georgakopoulos, Andreas; Stavroulaki, Vera; Demestichas, Panagiotis; Bourdellès, Michel; Pega, Stéphane; Gebert, Jens; Tsagkaris, Kostas
    Date: 2011-04-30
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    This document contains a detailed description of the algorithms to be implemented to manage the opportunistic networks. There are defined according to the functional and system architecture (WP2) to fulfil the technical challenges. These algorithms will implemented during the WP4.2 and validated during the WP4.3

    Milestone M4.1 del projecte Europeu OneFIT (ICT-2009-257385).

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    Formulation, implementation considerations, and first performance evaluation of algorithmic solutions - D4.1  Open access

     Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Bouali, Faouzi; Ferrús Ferré, Ramon; Agusti Comes, Ramon; Logothetis, Marios; Georgakopoulos, Andreas; Stavroulaki, Vera; Demestichas, Panagiotis; Kritikou, Yiouli; Thomatos, Evangelos; Bantouna, Aimilia; Akezidou, Maria; Koutsouris, Nikos; Fracchia, Roberta; Pega, Stéphane; Tosic, Milenko; Mustonen, Miia; Matinmikko, Marja; Lécroart, Benoit; Mouton, Christian; Rakotoharison, Lanto; Shariat, Shahin; Fuchs, Rolf; Gebert, Jens; Tsagkaris, Kostas; Tzifa, Lia; Sarli, Asimina; Bourdellès, Michel; Papadopoulou, Louisa-Magdalene; Sarvanko, Heli; Lee, Haeyoung
    Date: 2011-05
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    This deliverable contains a first version of the algorithmic solutions for enabling opportunistic networks. The presented algorithms cover the full range of identified management tasks: suitability, creation, QoS control, reconfiguration and forced terminations. Preliminary evaluations complement the proposed algorithms. Implementation considerations towards the practicality of the considered algorithms are also included.

    Deliverable D4.1 del projecte Europeu OneFIT (ICT-2009-257385)

  • Conceptual framework for enabling measurement-based mechanisms. Document number D5.1

     Agusti Comes, Ramon; Akyildiz, Ian F.; Pérez Romero, Jordi; Sallent Roig, Jose Oriol; Bouali, Faouzi; Iacobelli, Lorenzo; Le Martret, Christophe; Grimoud, Sebastien; Ben Jemaa, Sana; Sayrac, Berna; Dimitriou, Nikos; Zalonis, Andreas; Polydoros, Andreas; Cai, Tao; Cao, Fengming; Mähönen, Petri; Riihijärvi, Janne
    Date: 2011-02-28
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  • Enhanced Communications in Emergencies by Creating and Exploiting Synergies in Composite Radio Systems

     Ferrús Ferré, Ramon; Agusti Comes, Ramon; Bouali, Faouzi; Sallent Roig, Jose Oriol
    Participation in a competitive project

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  • Acceso radio cognitivo y oportunista

     Raschella, Alessandro; Bouali, Faouzi; Bolea, Liliana; Sanchez Gonzalez, Juan; Umbert Juliana, Anna; Ferrús Ferré, Ramon; Casadevall Palacio, Fernando-jose; Agusti Comes, Ramon; Pérez Romero, Jordi; Sallent Roig, Jose Oriol
    Participation in a competitive project

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  • A novel spectrum selection strategy for matching multi-service secondary traffic to heterogeneous primary spectrum opportunities

     Bouali, Faouzi; Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Agusti Comes, Ramon
    IEEE International Symposium on Personal Indoor and Mobile Radio Communications
    Presentation's date: 2011-09
    Presentation of work at congresses

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    In order to increase spectrum utilization efficiency, CRs (Cognitive Radios) have been introduced to reuse white spaces left unused by legacy services under the strict constraint of not interfering them. In this context, this paper proposes to exploit a statistical characterisation of Primary User (PU) activity to be retained in Radio Environment Maps (REMs) for spectrum selection purposes. The objective is to match multiservice secondary traffic to heterogeneous primary spectrum opportunities minimizing the SpHO (Spectrum handOver) rate. Specifically focusing on dependence structures potentially exhibited by primary ON/OFF periods, two spectrum selection criteria have been first proposed to benchmark the utility of the embedded statistical patterns in the REM. Results have shown that the one or the other criterion can introduce significant gains with respect to a random selection depending on the secondary configuration and characteristics of PUs. Therefore, a novel pro-active spectrum selection strategy combining the proposed criteria has been developed and proven to achieve in most of the cases the best performance for a given secondary service mix and the dependence level between primary ON/OFF periods.

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    A framework based on a fittingness factor to enable efficient exploitation of spectrum opportunities in cognitive radio networks  Open access

     Bouali, Faouzi; Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Agusti Comes, Ramon
    International Symposium on Wireless Personal Multimedia Communications
    Presentation's date: 2011-10
    Presentation of work at congresses

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    In order to increase CRs (Cognitive Radios) operation efficiency, there has been an interest in increasing awareness level about spectrum utilisation. In this respect, this paper proposes a new fittingness factor concept that captures the suitability of spectral resources exhibiting time-varying characteristics to support a set of heterogeneous CR applications. Different fittingness factor functions to track unknown variations of interference levels are formulated and analysed. First, the dependency with traffic load is studied and second, the impact over the spectrum selection decision-making process in a multiservice CR context is evaluated. Results show that, even with a simple greedy approach, the fittingness factor concept can result in an efficient matching of spectral resources to the requirements of CR applications, thus resulting in significant reduction in the user dissatisfaction probability.

    Postprint (author’s final draft)

  • Strengthening radio environment maps with primary-user statistical patterns for enhancing cognitive radio operation

     Bouali, Faouzi; Sallent Roig, Jose Oriol; Pérez Romero, Jordi; Agusti Comes, Ramon
    International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications
    Presentation's date: 2011-06
    Presentation of work at congresses

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    In order to increase spectrum utilization efficiency, CRs (Cognitive Radios) have been introduced to reuse white spaces left unused by legacy services under the strict constraint of not interfering them. In order to fulfill this constraint while optimising spectrum utilisation, it is important to get knowledge about primary-user activity in order to devise proper strategies for secondary-user operation. In this context, this paper proposes to strengthen Radio Environment Maps (REM) with statistical patterns of primary systems that capture among others temporal dependence structures between activity (ON) and inactivity (OFF) periods. Convergence times for the different statistics are analysed. Then, a set of novel spectrum selection criteria exploiting these statistics are proposed and assessed to benchmark the usefulness of primary statistical patterns retained in the REM. Results show that significant performance gains can be achieved in terms of a reduction in the number of required spectrum hand-overs.

  • FLEXIBLE AND SPECTRUM-AWARE RADIO ACCESS THROUGH MEASUREMENTS AND MODELLING IN

     Umbert Juliana, Anna; Pérez Romero, Jordi; Ferrús Ferré, Ramon; Garcia Escriche, Sergio; López Benítez, Miguel; Raschella, Alessandro; Bolea, Liliana; Bouali, Faouzi; Sallent Roig, Jose Oriol; Casadevall Palacio, Fernando-jose; Agusti Comes, Ramon
    Participation in a competitive project

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  • Opportunistic networks and Cognitive Management Systems for Efficient Application Provision in the Future

     Gelonch Bosch, Antoni; Pérez Romero, Jordi; Ferrús Ferré, Ramon; Sanchez Gonzalez, Juan; Umbert Juliana, Anna; Agusti Comes, Ramon; Casadevall Palacio, Fernando-jose; Raschella, Alessandro; Bouali, Faouzi; Sallent Roig, Jose Oriol
    Participation in a competitive project

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  • GRUP DE RECERCA EN COMUNICACIONS MÒBILS

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

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