-------- Original-Nachricht -------- Betreff: [TCCC-ANNOUNCE] CFP: The 3rd Workshop on Physics-Inspired Paradigms in Wireless Communications and Networks (PHYSCOMNET 2014), Hammamet, Tunisia, May 16, 2014 Datum: Wed, 30 Oct 2013 11:20:41 +0100 Von: Ignacio Santamaría nacho@GTAS.DICOM.UNICAN.ES Antwort an: Ignacio Santamaría nacho@GTAS.DICOM.UNICAN.ES An: tccc-announce@COMSOC.ORG
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*CALL FOR PAPERS - PHYSCOMNET 2014*
The 3rd Workshop on Physics-Inspired Paradigms in Wireless Communications and Networks
*May 16th, 2014, Hammamet, Tunisia*
In conjunction with the 12th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2014)
Conference Website: https://xserve.nt.tuwien.ac.at/physcomnet/
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** OVERVIEW*
Current wireless networks are reaching a level of complexity in which conventional models and design tools are no longer valid, and fail to provide the ever-growing performance requirements in terms of peak rates and mobility that users demand nowadays. Delay constraints, scaling laws, parameter estimation (e.g., in massive MIMO networks), interference management and modeling techniques, and distributed implementations are some of the challenging aspects to be researched for next-generation wireless networks. This calls for creative cross-disciplinary methods to analyze, model, understand, and design algorithms for future wireless networks, which will be characterized by denser and heterogeneous deployments.
Recently, there have been several fruitful insights and approaches inspired from the areas of physics and mathematics, including statistical mechanics, elementary particle physics, algebraic and stochastic geometry, machine learning, electrostatics, game theory, and random matrix theory, among others. This interdisciplinary workshop aims to bring together active researchers with different backgrounds interested in research on future wireless communications and networks.
** SPECIFIC TOPICS OF INTEREST*include but are not limited to:
• Statistical mechanics methods for the derivation of performance bounds and the development of iterative algorithms
• Design of distributed and diffusion-based algorithms
• Parametric and nonparametric methods in machine learning
• Algebraic-geometric methods for code, signal, and receiver design
• Compressed sensing and sparse modeling
• Networks with feedback and/or delay constraints
• Applications of random matrix theory methods to large systems
• Analysis of networks via analogy to electrostatics, optics, and percolation theory
• Network optimization using game theory
• Graph theory concepts for analyzing connectivity, scalability, and routing issues
• Interference management techniques
• Statistical tools for interference modeling
** IMPORTANT DATES*
- Paper submission deadline: *January 5th, 2014*
- Notification of acceptance: *February 15th, 2014*
- Camera-ready paper: *March 1st, 2014*
** SUBMISSION OF PAPERS*
Papers must be in PDF format, 10 pt character size, two column text, one-and-a-half line spacing. The manuscripts must not exceed 8 pages in length. Submissions should be of sufficient detail and length to permit careful reviewing. The submission will be handled via the EDAS system http://edas.info/using the Physcomnet'14 - WiOpt'14 http://edas.info/newPaper.php?c=16183track. For more information visit the workshop homepage: https://xserve.nt.tuwien.ac.at/physcomnet/
** WORKSHOP CHAIRS*
Erwin Riegler, Vienna University of Technology, Austria
Ignacio Santamaría, University of Cantabria, Spain
** TECHNICAL PROGRAM COMMITTEE*
Baltasar Beferull-Lozano, Universidad de Valencia, Spain
Carlos Beltrán, Universidad de Cantabria, Spain
Laura Cottatelucci, EURECOM, France
Giuseppe Durisi, Chalmers University of Technology, Sweden
Bernard Fleury, Aalborg University, Denmark
Maxime Guillaud, Vienna University of Technology, Austria
Eduard Jorswieck, Dresden University of Technology, Germany
Olivier Leveque, Ecole Polytechnique Federal de Lausanne, Switzerland
Shaowei Lin, Institute for Infocomm Research, Singapore
Angel Lozano, Universitat Pompeu Fabra, Spain
Aris Moustakas, University of Athens, Greece
Ralf Müller, University of Erlangen-Nürnberg, Germany
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