Learning in vehicular dynamic spectrum access networks: Opportunities and challenges

2011 International Symposium on Intelligent Signal Processing and Communications Systems: "The Decade of Intelligent and Green Signal Processing and Communications", ISPACS 2011

Volumn , Issue , 2011, Pages

  Chen, Si ^a   Vuyyuru, Rama ^b   Altintas, Onur ^c   Wyglinski, Alexander M ^a  

^a Worcester Polytechnic Institute   (United States)

^b Toyota InfoTechnology Center USA   (United States)

^c Toyota InfoTechnology Center   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE RADIO; CURRENT SPECTRA; DYNAMIC SPECTRUM ACCESS; IN-VEHICLE COMMUNICATION; MACHINE LEARNING TECHNIQUES; MOBILE SCENARIOS; MULTIPLE APPLICATIONS; NETWORK AUTOMATIONS; NETWORK RANGE; SOFTWARE-DEFINED RADIOS; SPECTRAL OCCUPANCY; SPECTRUM ALLOCATION; VEHICULAR COMMUNICATIONS; VEHICULAR DYNAMICS; WIRELESS TRANSMISSIONS;

COMMUNICATION SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; RADIO COMMUNICATION; SIGNAL PROCESSING; VEHICLE TRANSMISSIONS; VEHICLES;

NETWORK ARCHITECTURE;

EID: 84863135724     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISPACS.2011.6146215     Document Type: Conference Paper

References (30)

1. T. Willke, P. TIentrakool, and N. Maxemchuk, "A survey of inter-vehicle communication protocols and their applications;' IEEE Communications Surveys & Tutorials, vol. 11, no. 2, pp. 3-20, 2009.
2. S. Chen, A. M. Wyglinski, R. Vuyyuru, and O. Altintas, "Feasibility analysis of vehicular dynamic spectrum access via queueing theory model," in IEEE Vehicular Networking Conference (VNC). IEEE, Dec. 2010.
3. O. Altintas, M. Nishibori, T. Oshida, Y. Thara, and M. Saito, "Demonstration of Vehicle to Vehicle Communications over TV White Space (Demo paper)," in 4th International Symposium on Wireless Vehicular Communications (WIV EC), 2011.
4. P. Papadimitratos, A. La Fortelle, K. Evenssen, R. Brignolo, and S. Cosenza, "Vehicular communication systems: enabling technologies, applications, and future outlook on intelligent transportation," IEEE Communications Magazine, vol. 47, no. 11, pp. 84-95,2009.
5. W. Chen, J. Chennikara-Varghese, and S. Cai, "Local peer group architecture and organization for vehicle communications;' in VehicletoVehicle Communications Workshop (V2VCOM 2005) co-located at ACM MobiQuitous,2005.
6. J. Akbari Torkestani and M. Meybodi, "Mobility-based multicast routing algorithm for wireless mobile ad-hoc networks: A leaming automata approach," Computer Communications, vol. 33, no. 6, pp. 721-735, 2010.
7. Federal Communications Commission, "FCC 99-305. FCC Report and Order;' Institution, Tech. Rep., October 1999.
8. A. Wyglinski, M. Nekovee, and Y. Hou, Cognitive Radio Communications and Networks: Principles and Practice. Academic Press, 2009.
9. S. Pagadarai and A. Wyglinski, "A quantitative assessment of wireless spectrum measurements for dynamic spectrum access;' in 4th International Coriference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), Jun. 2009.
10. A. Min, K.-H. Kim, J. Singh, and K. Shin, "Opportunistic spectrum access for mobile cognitive radios," in IEEE Coriference on Computer Communications (INFOCOM), april 2011, pp. 2993-3001.
11. Commuter Transportation Services, "State of the commute, 1993," Tech. Rep., 1993.
12. W. Chen, L. Delgrossi, T. Kosch, and T. Saito, "Topics in automotive networking," IEEE Communications Magazine, vol. 47, no. 5, pp. 114-115,2009.
13. IEEE WG802.22, "IEEE 802.22-2011(TM) Standard for Cognitive Wireless Regional Area Networks (RAN) for Operation in TV Bands;' 2011.
14. J. Mitola III, "Cognitive radio architecture;' Cognitive Networks, pp. 147-202, 1998.
15. K. Kim,I. Akbar,K. Bae,J. Urn,C. Spooner,a nd J. Reed," Cyclostationary approaches to signal detection and classification in cognitive radio;' in 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN). IEEE, 2007, pp. 212-215.
16. T. Rondeau, B. Le, C. Rieser, and C. Bostian, "Cognitive radios with genetic algorithms: Intelligent control of software defined radios," in Software Defined Radio Forum Technical Conference, 2004.
17. T. R. Newman, J. E. Evans, and A. M. Wyglinski, "Reconfiguration, adaptation, and optimization," in Cognitive Radio Communications and Networks: Principles and Practice, A. Wyglinski, M. Nekovee, and Y. Hou, Eds. Academic Press, 2009, ch. 7.
18. C. Clancy, J. Hecker, E. Stuntebeck, and T. O'Shea, "Applications of machine leaming to cognitive radio networks," IEEE Wireless Communications, vol. 14, no. 4, pp. 47-52, 2007.
19. A. He, K. Bae, T. Newman, J. Gaeddert, K. Kim, R. Menon, L. MoralesTirado, J. Neel,Y. Zhao,J. Reed et al., "A survey of artificial intelligence for cognitive radios;' IEEE Transactions on Vehicular Technology, vol. 59, no. 4, pp. 1578-1592, 2010.
20. S. Chen, R. Vuyynru, A. M. Wyglinski, and O. Altintas, "On Optimizing Vehicular Dynamic Spectrum Access Networks: Automation and Leaming in Mobile Wireless Environments;' in IEEE Vehicular Networking Conference (VNC), submitted.
21. I. Watson and F. Marir, "Case-based reasoning: a review," Knowledge Engineering Review, vol. 9, no. 4, pp. 327-354, 1994.
22. R. Sutton and A. Barto, Reinforcement learning: An introduction. Cambridge Univ Press, 1998, vol. 116.
23. S. Haykin, D. Thomson, and J. Reed, "Spectrum sensing for cognitive radio," Proceedings of the IEEE, vol. 97, no. 5, pp. 849-877, 2009.
24. O. Fatemieh, A. Farhadi, R. Chandra, and C. Gunter, "Using classification to protect the integrity of spectrum measurements in white space networks;' in T he 18th Annual Network and Distributed System Security Symposium (NDSS 11), Feb.
25. A. Fehske, J. Gaeddert, and J. Reed, "A new approach to signal classification using spectral correlation and neural networks," in First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN). IEEE, 2005, pp. 144-150.
26. S. Chen, T. Newman, J. Evans, and A. Wyglinski, "Genetic algorithmbased optimization for cognitive radio networks," in IEEE Sarnoff Symposium. IEEE, 2010, pp. 1-6.
27. Chen, C., "Learning-Based Interference Mitigation for Wireless Networks," Ph.D. dissertation,U niv. of lllinois at Urbana-Champaign,2 009.
28. H. Hartenstein and K. Laberteaux, "A tutorial survey on vehicular ad hoc networks;' IEEE Communications Magazine, vol. 46, no. 6, pp. 164-171,2008.
29. M. Artimy, "Local density estimation and dynamic transmission-range assignment in vehicular ad hoc networks;' IEEE Transactions on Intelligent Transportation Systems, vol. 8, no. 3, pp. 400-412, 2007.
30. T. Taleb, E. Sakhaee, A. Jarnalipour, K. Hashimoto, N. Kato, and Y. Nemoto, "A stable routing protocol to support its services in vanet networks;' IEEE Transactions on Vehicular Technology, vol. 56, no. 6, pp. 3337-3347, 2007.