Cognitive Network Optimization Techniques
Cognitive Wireless Networks (CWN) are characterized by the addition of cognition capabilities such as reasoning and learning to wireless devices and networks, with the aim of providing enhanced adaptability and reconfigurability to cope with the ever-growing challenges of radio communications.
Mobile devices within a CWN operate following the so-called Cognition Cycle, which is composed of the following phases:
- Observe the wireless communication environment;
- Orient, i.e., understand the current status of the surrounding environment and predict its future evolution;
- Decide, i.e., choose the reconfiguration strategy which is expected to maximize the satisfaction of the communication requirements of the user;
- Act, i.e., reconfigure the device and perform the communications according to the previously identified strategy;
- Learn, i.e., evaluate whether the action has been successful or not, and leverage on this knowledge for future decisions.
Publications
- B. Bojovic, N. Baldo, G. Quer, R. R. Rao, Bayesian and Neural Network Schemes for Call Admission Control in LTE systems , in Proceedings of the IEEE Global Communications Conference (IEEE Globecom 2013), 9-3 December 2013, Atlanda (USA), December 2013.
- B. Bojovic, N. Baldo, A Neural Network based Radio Admission Control Scheme for LTE systems , in Proceedings of ICT-ACROPOLIS Network of Excellence Workshop, 27-28 June 2012, Brussels (Belgium)
- B. Bojovic, N. Baldo, P. Dini, A Cognitive Scheme for Radio Admission Control in LTE systems , in Proceedings of 3rd International Workshop on Cognitive Information Processing (CIP), 28-30 May 2012, Parador de Baiona (Spain)
- B. Bojovic, N. Baldo, P. Dini, A Neural Network Based Cognitive Engine for IEEE 802.11 WLAN Access Point Selection, in Proceedings of Consumer Communications & Networking Conference (CCNC 2012), 14-17 January 2012, Las Vegas, Nevada (US)
- B. Bojovic, N. Baldo, J. Nin Guerrero, P. Dini, A Supervised Learning Approach to Cognitive Access Point Selection, in Proceedings of IEEE Global Communications Conference (GLOBECOM 2011), 5-9 December 2011, Houston, Texas (US).
- N.Baldo, P. Dini, J. Nin-Guerrero, User-driven Call Admission Control for VoIP over WLAN with a Neural Network Based Cognitive Engine, International Workshop on Cognitive Information Processing, Elba Island, Italy, June 2010.
- N. Baldo, M. Zorzi, Cognitive Network Access using Fuzzy Decision Making, IEEE Transactions on Wireless Communications, Vol. 8, No. 7, July 2009.
- N. Baldo, B. Tamma, B. S. Manoj, R. Rao, M. Zorzi, A Neural Network based Cognitive Controller for Dynamic Channel Selection, in Proceedings of IEEE International Conference on Communications (ICC 2009), 14-18 June 2009, Dresden (Germany).
- N. Baldo, A. Asterjadhi, M. Zorzi, Cooperative Detection and Spectrum Reuse using a Network Coded Cognitive Control Channel, in Proceedings of Third IEEE Workshop on Networking Technologies for Software Defined Radio (SDR) Networks (Held in Conjunction with IEEE SECON 2009), 22 June 2009, Roma (Italy).
- N. Baldo, A. Asterjadhi, M. Zorzi, Multi-Channel Medium Access using a Virtual Network Coded Control Channel, in Proceedings of 5th International Wireless Communications and Mobile Computing Conference (IWCMC 2009), 21-24 June 2009, leipzig (Germany).
- A, Asterjadhi, N. Baldo, M. Zorzi, A Distributed Network Coded Control Channel for Multihop Cognitive Radio Networks, IEEE Network Magazine, August 2009.
- N. Baldo, A. Asterjadhi, L. Giupponi, M. Zorzi, A Scalable Dynamic Spectrum Access Solution for Large Wireless Networks, in Proceedings of the 5th IEEE International Symposium on Wireless Pervasive Computing (IEEE ISWPC 2010), 5-7 May 2010, Modena, Italy