University of Rome "La Sapienza"

Brief description of the organisation

The main activities of the Department of Information Engineering, Electronics and Telecommunications (DIET) of the University of Rome “La Sapienza" are research and teaching in the areas of Information and Communication Technology, networks, signal processing, communication systems, remote sensing, micro/nanotechnology, advanced electronic and optoelectronic systems. The department is composed of 23 Full Professors, 16 Associate Professors and 25 Assistant Professors. The research activities of the department are supported by national funding agencies, including the Ministry of Education and the Italian Space agency, national companies and international funding agencies, including the European Union and the European Space Agency. The Department has been deeply involved in European projects since many years.


Main tasks attributed in the project

WP1: Scientific coordination.
WP2: Contribute to the definition of the system requirements. Dissemination of results in international conferences, journals, patent filing and activities of the ICT Programme. Fulfilment of PhD and Master thesis.
WP3: Develop advanced PHY and cross-layer techniques for femto-based network, using game theoretic tools and distributed signal processing techniques.
WP5: Evaluation of the techniques developed in WP3 at system level.


Previous experience relevant to those tasks

The Signal Processing for Communication Laboratory Group (SpComLab), involved in TROPIC, has been involved in several research projects funded by the European Union, namely SATURN, on smart antenna arrays and space-time coding, ROMANTIK, on wireless multi-hop and relay networks, SURFACE, on mobile and wireless systems and platforms based on self-reconfigurable air interfaces for beyond 3G wireless networks, and WINSOC, on wireless sensor networks with self-organization capabilities. The group is currently involved in the 7th FP research project SENDORA, with the goal of designing cognitive radio networks using a sensor network to sense the spectrum and implement, consequently, a dynamic spectrum access. In the last years, the group has produced several publications on distributed algorithms for decentralized optimal resource allocation using game theory and on distributed decision algorithms for sensor networks. The recent paper on MIMO Cognitive Radio, published on the IEEE SP Magazine, is in the top IEEE download since months.


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