Enhancing cognitive radio systems with robust reasoning

International Journal of Communication Systems

Volumn 21, Issue 3, 2008, Pages 311-330

  Adamopoulou, Evgenia ^a   Demestichas, Konstantinos ^a   Demestichas, Panagiotis ^b   Theologou, Michael ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Bayesian networks; Cognitive radio; Interference sensing; Machine learning; Reasoning

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; COGNITIVE SYSTEMS; LEARNING SYSTEMS; PROBLEM SOLVING; ROBUST CONTROL;

INTERFERENCE SENSING; ROBUST REASONING; TRANSMISSION CAPACITY;

RADIO SYSTEMS;

EID: 40549100017     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.898     Document Type: Article

References (24)

1. Raman L. OSI Systems and Network Management. IEEE Communications Magazine 1998; 36(3):46-53.
2. Frodigh M, Parkvall S, Roobol C, Johansson P, Larsson P. Future-generation wireless networks. IEEE Personal Communications (Special Issue) 2001; 8(5):10-17.
3. Kim Y, Jeong BJ, Chung J, Hwang C-S, Ryu JS, Kim K-H, Kim YK. Beyond 3G: vision, requirements, and enabling technologies. IEEE Communications Magazine 2003; 41(3):120-124.
4. Demestichas P, Vivier G, El-Khazen K, Theologou M. Evolution in wireless systems management concepts: from composite radio to reconfigurability. IEEE Communications Magazine 2004; 42(5):90-98.
5. McHenry M. Frequency agile spectrum access technologies. In FCC Workshop Cognitive Radio, May 2003.
6. Staple G, Werbach K. The end of spectrum scarcity. IEEE Spectrum 2004; 41(3):48-52.
7. Haykin S. Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 2005; 23(2):201-220.
8. O'Daniell Neel J. Analysis and design of cognitive radio networks and distributed radio resource management algorithms. Ph.D. Dissertation, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, VA, 2006.
9. McHenry M. NSF Spectrum Occupancy Measurements Project Summary. 15 August 2005. Available online at: http://www.sharedspectrum.com/?section= nsf_measurements
10. Mitola J, Maguire Jr G. Cognitive radio: making software radios more personal. IEEE Personal Communications Magazine 1999; 6(6):13-18.
11. Mitola J. Cognitive radio: an integrated agent architecture for software defined radio. Doctor of Technology, Royal Institute of Technology (KTH), Stockholm, Sweden, 2000.
12. Demestichas P, Boscovic D, Stavroulaki V, Lee A, Strassner J. m@ ANGEL: autonomic management platform for seamless cognitive connectivity to the mobile internet. IEEE Communications Magazine 2006; 44(6):118-127.
13. Federal Communications Commission. Establishment of interference temperature metric to quantify and manage interference and to expand available unlicensed operation in certain fixed mobile and satellite frequency bands. ET Docket 03-289, Notice of Inquiry and Proposed Rulemaking, Federal Communications Commission.
14. Kolodzy PJ. Interference temperature: a metric for dynamic spectrum utilization. International Journal of Network Management (Special Issue: Management of Interference in Wireless Networks) 2006; 16(2):103-113.
15. Leung KK. Power control by interference prediction for broadband wireless packet networks. IEEE Transactions on Wireless Communications 2002; 1(2):256-265.
16. Santucci F, Pratesi M, Ruggieri M, Graziosi F. A general analysis of signal strength handover algorithms with cochannel interference. IEEE Transactions on Communications 2000; 48(2):231-241.
17. Schwartz SC, Yeh YS. On the distribution function and moments of power sums with lognormal components. Bell System Technical Journal 1982; 61:1441-1462.
18. Pratesi M, Ruggieri M, Graziosi F, Santucci F. Performance of signal strength handover algorithms with interference and correlated shadowings. Proceedings of the IEEE Vehicular Technology Conference, Phoenix, AZ, May 1997; 530-534.
19. Graziosi F, Pratesi M, Ruggieri M, Santucci F. A multicell model of handover initiation in mobile cellular networks. IEEE Transactions on Vehicular Technology 1999; 48:802-814.
20. Marlow NA. A normal limit theorem for power sums of normal random variables. Bell System Technical Journal 1967; 46(9):2081-2089.
21. Neapolitan RE. Learning Bayesian Networks - Series in Artificial Intelligence. Prentice-Hall: Englewood Cliffs, NJ, 2002.
22. Adamopoulou E, Demestichas K, Koutsorodi A, Theologou ME. Access selection and user profiling in reconfigurable terminals. Proceedings of the 15th Wireless World Research Forum (WWRF), Paris, December 2005.
23. Koutsorodi A, Adamopoulou E, Demestichas K, Theologou M. Service configuration and user profiling in 4G terminals. Wireless Personal Communications 2007, 0929-6212 (Print) 1572-834X (Online).
24. Cheng J, Greiner R. Learning Bayesian belief network classifiers: algorithms and system. Proceedings of the 14th Canadian Conference on Artificial Intelligence, Ottawa, Ontario, Canada, 2001; 141-151.