Software Defined and Cognitive Radio

Radio spectrum is an important and natural resource shared by various types of wireless services. It can be repeatedly re-used, if certain technical conditions are met. In particular, radio spectrum can simultaneously accommodate a limited number of users. CR systems promise many new and exciting benefits for radio users. CR is the technology allowing radio equipment to obtain knowledge of its radio environment and to dynamically adjust its operational parameters in order to improve its performance. SDR technologies are a natural platform on which to build in new cognitive features: SDR functionality is seen as the foundation for development of CR functionality.

The list of CR benefits is long, but some of the most important are interoperability with new and legacy radio systems; ability to squeeze a staggering amount of radio capability in a very small package; and the ability to implement networking tasks on each radio that run transparently to the user. SDR and CR will open the door for broadband usage in secure communications, which is currently restricted in few available technologies SDR along with the capabilities of CR will allow the diffusion of economies of scale, which is one of the key goals of Horizon 2020. SDR and CR allow to harmonizing the needs of commercial, public, safety and military users. Creating a set of standards acting as common framework to address the needs of different stakeholders would therefore allow for huge economies of scale for future SDR and CR products. Standardization in this field has great potential for stimulating innovation and competitiveness of the European industry on a worldwide scale, which is one of the core goals of Horizon 2020 and of the EUROPE 2020 strategy. CR networks, built on SDR modules, would bring many substantial benefits. Optimizing the power and energy efficiency of wireless communications not only reduces environmental impact, but also cuts overall network costs and helps make communication more practical and affordable in a pervasive setting. Moreover, effective power control in CR networks opens the possibility for implementing “green” ecologic networks. The purpose of green communication is to reduce the energy consumption, lower the electromagnetic radiation, improve resource utilization, and make resource consumption and environmental impact to a minimum. Such networks would help reducing the global pollution with benefic effect for people health and for the future of our planet.

  1. F. Benedetto , G. Giunta, E. Guzzon, M. Renfors - "Effective Monitoring of Freeloading User in the Presence of Active User in Cognitive Radio Networks" - IEEE Trans. on Vehicular Technology , vol. 63, no. 5, pp. 2443-2450, 2014. DOI: 10.1109/TVT.2013.2290035. Impact Factor: 1.921
  2. F. Benedetto - "Cognitive Communications: A Revolution in Wireless Communications", in "Encyclopedia of Information science and Technology", IGI Global Publisher, in press July 2014. DOI: 10.4018/978-1-4666-5888-2. ISBN: 978-1-46665888-2.ch605. ISBN: 978-1-46665888-2
  3. F. Benedetto, A. Tedeschi - "Chapter 1. The Cognitive Radio Technology: Future Trends in the Spectrum Access of Next Generation Communication Systems", pp. 1-32, in "Communication Systems: New Research", Vyacheslav Tuzlukov editor, NOVA Science Publishers, 432 pp. USA, 2013. ISBN: 978-1-62618-654-5.
  4. F. Benedetto, A. Tedeschi, G. Giunta - "Cooperative spectrum sensing for positioning in cognitive radios", 11th IEEE Int. Symp. on Wireless Communications Systems (ISWCS 2014), pp. 1-5, August 2014, Barcelona, Spain.
  5. F. Benedetto, G. Giunta, A. Tedeschi, E. Guzzon - "Performance improvements of cooperative spectrum sensing in cognitive radio networks with correlated cognitive users", 37th IEEE Int. Conf. on Telecommunications and Signal Processing (TSP 2014), 1-3 July 2014, Berlin, Germany.
  6. F. Benedetto, G. Giunta, E. Guzzon, M. Renfors, M. Arcangeli - "Improving the Interference Temeprature Estimation for Dynamic Spectrum Access in Cognitive Radios", 1st IEEE Global Conference on Signal and Information Processing (GlobalSIP 2013), 3-5 Dec.. 2013, Austin, Texas, U.S.A.
  7. F. Benedetto, G. Giunta, E. Guzzon, M. Renfors - "Detection of Hidden Users in Cognitive Radio Networks", 24th IEEE Int. Symp. on Personal, Indoor and Mobile Radio Communications (PIMRC'13), 8-11 Sept. 2013, London, UK.
  8. E. Guzzon, F. Benedetto, G. Giunta, M. Renfors - "A Software Radio Implementation for Spectrum Hole Sensing in Cognitive Mobile Networks" - IEEE Int. Conf. on Communications, IEEE ICC 2013, 5th IEEE Workshop on Cooperative and Cognitive Mobile Networks (CoCoNet), Budapest, Hungary, 9-13 June. 2013.
  9. E. Guzzon, F. Benedetto, G. Giunta - "Performance Improvements of OFDM Signals Spectrum Sensing in Cognitive Radio" - 76th IEEE Int. Conf. on Vehicular Technology, IEEE VTC-Fall 2012, Quebec City, Canada, 3-6 Sept. 2012.
  10. F. Benedetto, Editorial, Patents on Computer Science (Special Issue on Recent Advances in Cognitive Radio Communications), vol. 5, no. 2, pp.81-82, 2012. ISSN: 1874-4796 (Online), ISSN: 2213-2759 (Print).