2009 Joint Workshop on
'Cognitive Wireless Networks and Systems - Cognitive Radio Networking'
Held in conjunction with
IEEE ICC 2009
14 June 2009 Dresden, Germany
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:: Important Dates Full papers due: 1 November 2008, 11:59 PM EDT (EDAS time) Acceptance notification: 16 January 2009 Camera ready version: 01 March 2009 :: Contact Information Panagiotis Demestichas University of Piraeus Department of Technology Education and Digital Systems Karaoli & Dimitriou 80, PS:185 34 Piraeus, Greece Phone: +30 210 4142758 Fax: +30 210 4142744 E-mail: pdemest@unipi.gr, dpetroma@unipi.gr WWW: www.ieee-cogwinets.org :: Call for Papers [PDF] :: Organizing Committee Prof. Panagiotis Demestichas, University of Piraeus, Greece Dr. Matthias Siebert, Deutsche Telekom/T-Systems, Germany Dr. Didier Bourse, Motorola, France Prof. Victor Leung, University of British Columbia, U.S.A. Dr. Hiroshi Harada, National Institute of Information and Communications Technology, Japan Ignas Niemegeers, Delft University of Technology, the Netherlands Joseph Evans, University of Kansas, USA Przemyslaw Pawelczak, Delft University of Technology, the Netherlands R. Venkatesha Prasad, Delft University of Technology, the Netherlands Petri Mahonen, RWTH Aachen, Germany Ingo Gaspard, Deutsche Telekom/T-Systems, Germany :: Technical Program Committee Agusti Ramon, Universitat Politecnica de Catalunya, Spain Altintas Onur, Toyota InfoTechnology Center, Japan Berlemann Lars, Swisscom Innovations, Switzerland Buddhikot Milind, Lucent Technologies, USA Buljore Soodesh, Motorola Labs, Paris, France Buracchini Enrico, Telecom Italia, Italy Cesana Matteo, Politecnico di Milano, Italy Chandramouli R., Stevens Institute of Technology, USA Chapin John, Vanu, Inc., USA Chattarjee Mainak, University of Central Florida, USA Chunsheng Xin, Norfolk State University, USA DaSilva Luiz, Virginia Tech, USA de Graaf Hugo, Twente Institute for Wireless and Mobile Communications, the Netherlands Doerr Christian, University of Colorado Doyle Linda, Trinity College, Dublin, Ireland Einsiedler Hans, Deutsche Telekom Laboratories, Germany Evans Joseph B., University of Kansas, USA Feng Zhiyong, Beijing University of Posts and Telecommunications, China Gao Deyun, Beijing Jiaotong University, China Gorg Carmelita, University of Bremen, Germany Grandblaise David, Motorola, France Han Zhu, Boise State University, U.S.A. Hari K.V.S, Indian Institute of Science, Bangalore, India Hekmat Ramin, Delft University of Technology, the Netherlands Hemstra de Groot Sonia, Delft University of Technology, the Netherlands Hoffmeyer James, Western Telecom Consultants, USA Hossain Ekram, University of Manitoba, Canada Houze Paul, France Telecom, France Janssen Gerard, Delft University of Technology, the Netherlands Jeux Sebastien, France Telecom, France Jondral Friedrich, Universitat Karlsruhe, Germany Krishnamachari Bhaskar, University of Southern California, USA Kuhn Edgar, Alcatel Lucent, Germany Liu Xin, University of California, Davis, USA Ma Liangping, Argon ST, Inc., USA MacKenzie Allen B., Virginia Tech, USA Mahonen Petri, RWTH Aachen, Germany Mange Genevieve, Alcatel Lucent, Germany Mangold Stefan, Swisscom Innovations, Switzerland Marcus Michael, Marcus Spectrum Solutions, USA Melodia Tommaso, State University of New York at Buffalo, USA Misic Jelena, Manitoba, Canada Misic Vojislav, Manitoba, Canada Mitola Joseph, MITRE, USA Moessner Klaus, University of Surrey, UK Muck Marcus, Infineon, Munich, Germany Munoz Luis, Universiuty of Cantabria, Spain Muralishankar R., PES Institute of Technology, Bangalore, India Niemegeers Ignas, Delft University of Technology, the Netherlands Nolan Keith, Trinity College, Dublin, Ireland Pawelczak Przemyslaw, Delft University of Technology, the Netherlands Pollin Sofie, University of California, Berkeley, USA Prasad R. Venkatesha, Delft University of Technology, the Netherlands Reed Jeff, Virginia Tech, USA Rondeau Tom, Virginia Tech, USA Rosenberger Manfred, T-Systems, Germany Shen Chien-Chung, University of Delaware, USA Solana Beatriz, Telefonica, Spain Stavroulaki Vera, University of Piraeus, Greece Steer David, Nortel Networks, Canada Stuckmann Peter, European Commission, Belgium Subbalakshmi K.P., Stevens Institute of Technology, USA Thilakawardana Duminda, University of Surrey, UK Thompson John, University of Edinburgh, UK Tiemann Jens, FOKUS Fraunhofer, Germany Tran-Gia Phuoc, University of Wuerzburg, Germany Trogolo Alessandro, Telecom Italia, Italy Tsagkaris Kostas, University of Piraeus, Greece Vishwanath Sriram, University of Texas at Austin, USA von Hugo Dirk, T-Systems, Germany Walke Bernhard, RWTH Aachen University of Technology, Germany Wolisz Adam, Technical University of Berlin, Germany Wyglinski Alexander, Worcester Polytechnic Institute, USA Yang Yang, University College London, U.K. Zarki Magda El, University of California, Irvine, USA Zhang Honggang, Create-Net, Italy Zhao Qing, University of California, Davis, U.S.A. Zheng Haitao, University of California, Santa Barbara, U.S.A. Zorzi Michele, University of Padova, Italy :: Webmaster: Dionysis Petromanolakis :: Last update: 16 July 2008 |
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The International Joint Workshop 'Cognitive Wireless Networks and Systems - Cognitive Radio Networking' is the juxtaposition of many initiatives, from around the world, which strive in parallel to contribute to the development of cognitive networking technologies, and wireless communications and networks. The Workshop provides a forum for discussion of all these developments, bringing together industry and academia, engineers, scientists and researchers. The discussions will cover achievements and open issues in research, standards, regulation, business models and products. The attribution of cognition in the wireless world is one of the most exciting areas in modern telecommunications. Targets are to increase efficiency and to address the complexity in the wireless world. Technical approach includes the development of intelligent management functionality and reconfigurable infrastructure. Reconfigurable infrastructures cover terminals, devices, access points and fixed-network elements. Management includes context acquisition mechanisms, decision making strategies and decision enforcements means. Moreover, the incomparable evolution of wireless communications is reflected in the tremendous investments on research and development, targeted at the continuous introduction of innovations that could serve the information society. This has led to the coexistence and complementary exploitation of versatile, legacy and also emerging Radio Access Technologies (RATs), such as wireless wide area networking technologies (WWANs), which include 2G/2.5G/3G mobile communications, the IEEE 802.16 suite, WiMAX and broadcasting technologies, and wireless short range networks (WShRNs), which include wireless local/personal area networks (WLANs/WPANs), as well as wireless sensor networks (WSNs). The evolution of wireless access
networks is most commonly referred to as B3G (Beyond the 3rd
Generation) systems. In the B3G era, network operators (NOs) will have
to address increased complexity. Complexity derives from the inevitable
heterogeneity of the network and terminal infrastructure, business
model aspects and application areas. To meet these objectives, NOs have
to deploy complex network topologies of heterogeneous nature. The
different RATs will have to co-exist, and be complementarily exploited.
Since different RATs have different capabilities, in terms of capacity,
coverage, mobility support, cost, etc, each RAT is best suited for
handling certain situations. In this respect, a NO will have to rely on
different RATs for raising the customer satisfaction, and achieving the
required Quality of Service (QoS) levels, in a cost-effective manner.
QoS refers to performance, availability, reliability, as well as
security/safety. The aspects identified
above motivate the introduction of cognitive systems in wireless B3G
infrastructures. Specifically, an option for meeting the requirements
and the resulting complexity is to attribute the wireless B3G
infrastructures with 'cognitive network' capabilities. In general,
cognitive systems determine their behaviour, in a reactive or proactive
manner, based on the external stimuli (environment aspects), as well as
their goals, principles, capabilities, experience and knowledge. In the
case of cognitive networks, this definition can be translated as the
ability to dynamically select the network's configuration, through
self-management functionality that reaches optimal decisions, taking
into account the context of operation (environment requirements and
characteristics), goals and policies (corresponding to principles),
profiles (corresponding to capabilities), and machine learning (for
managing and exploiting knowledge and experience). In response to the above, the objectives of this Workshop, accordingly, are to provide:
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