Network Support: The Radio Environment Map

Cognitive Radio Technology

Volumn , Issue , 2009, Pages 325-366

  Zhao, Youping ^a   Le, Bin ^b   Reed, Jeffrey H ^c  

^a Shared Spectrum Company   (United States)

^b Comcast NE and TO ^*  (United States)

^c Virginia Polytechnic Institute and State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84858792415     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-374535-4.00011-4     Document Type: Chapter

References (46)

1. Reed, J. H., and C. W. Bostian, Understanding the Issues in Software Defined Cognitive Radio, Tutorial for First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network, Baltimore, November 2005.
2. Krenik, W., and A. Batra, Cognitive Radio Techniques for Wide Area Networks, 42nd Design Automation Conference, pp. 409-412, Anaheim, CA, June 2005.
3. Zhao, Y. and J. H. Reed, Radio Environment Map Design and Exploitation, MPRG Technical Report, Virginia Tech, December 2005.
4. Reed, J. H., C. Dietrich, J. Gaeddert, K. Kim, R. Menon, L. Morales, and Y. Zhao, Development of a Cognitive Engine and Analysis of WRAN Cognitive Radio Algorithms, MPRG Technical Report, Virginia Tech, December 2005.
5. Krenik, B., and C. Panasik, The Potential for Unlicensed Wide Area Networks, Wireless Advanced Architectures Group, Texas Instruments White Paper, October 2004.
6. Sai Shankar, N., C. Corderio, and K. Challapali, Spectrum Agile Radios: Utilization and Sensing Architectures, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network, pp. 160-169, Baltimore, November 2005.
7. Rappaport T.S. Wireless Communications Principles and Practice 2002, Prentice Hall.
8. Bauer G., Bose R., Jakoby R. Three-Dimensional Interference Investigations for LMDS Networks Using an Urban Database. IEEE Transactions on Antennas and Propagation 2005, 53(8, Part 1):2464-2470.
9. Russell J.S., Norvig P. Artificial Intelligence: A Modern Approach 2003, Pearson Education. Second Edition.
10. http://www.2pass.co.uk/awareness.htm#SAdefinition.
11. Mitola J., Maguire G.Q. Cognitive Radio: Making Software Radios More Personal. IEEE Personal Communications 1999, 6(4):13-18.
12. Fette B. The Promise and the Challenge of Cognitive Radio http://www.sdrforum.org/MTGS/mtg_40_sep04/fette_cognitive_radio.pdf.
13. http://www.usgs.gov/.
14. http://www.fcc.gov/mb/databases/cdbs/.
15. http://www.darpa.mil/ato/programs/xg/.
16. Polson, J., Cognitive Radio Applications in Software Defined Radio, Software Defined Radio Technical Conference, Phoenix, November 2004.
17. Cordeiro, C., K. Challapali, D. Birru, and S. N. Shankar, IEEE 802.22: The First Worldwide Wireless Standard Based on Cognitive Radio, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Network, pp. 328-337, Baltimore, November 2005.
18. Kim, C.-J., et al., WRAN PHY/MAC Proposal for TDD/FDD, doc.: IEEE 802.22-05/0109r0, November 7, 2005.
19. FCC, In the Matter of Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies, Authorization and Use of Software Defined Radios, FCC NPRM 03-322, December 30, 2003.
20. FCC, Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies, FCC NAO 05-57, March 11, 2005.
21. Zhao, Y., B.G. Agee, and J. H. Reed, Simulation and Measurement of Microwave Oven Leakage for 802.11 WLAN Interference Management, IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, pp. 1580-1583, Beijing, August 2005.
22. http://www.wireless-world-research.org/index.html.
23. Clausen, T., and P. Jacquet, Optimized Link State Routing Protocol (OLSR), IETF RFC 3626, October 2003.
24. Wang, T., Global Optimization for Constrained Nonlinear Programming, Ph.D. thesis, Department of Computer Science, University of Illinois, Urbana, December 2000.
25. Rondeau, T. W., B. Le, C. J. Rieser, and C. W. Bostian, Cognitive Radios with Genetic Algorithms: Intelligent Control of Software Defined Radios, Software Defined Radio Technical Conference and Product Exposition, November 2004.
26. Wireless World Research Forum Working Group 6 (WWRF-WG6), Cognitive Radio, Spectrum and Radio Resource Management, WWRF-WG6 White Paper, 2004.
27. Zhao, Y., and J. H. Reed, Radio Environment Map-enabled Cognitive Radios (Poster), Wireless@Virginia Tech Wireless Personal Communications Symposium, Blacksburg, June 2006.
28. Marshall, P., and S. Griggs, DARPA Wireless Networking Vision (DWNV), Making Network Centric Accessible for the Warfighter, WANN BAA 06-26, Proposers' day presentation, March 16, 2006.
29. Zhao, Y., J. H. Reed, S. Mao, and K. K. Bae, Overhead Analysis for REM-enabled Cognitive Radio Networks, Proceedings First IEEE Workshop on Networking Technologies for Software Defined Radio Networks, Reston, VA, September 2006.
30. Zhao Y., Morales L., Bae K.K., Gaeddert J., Reed J.H., Um J. A Generic Cognitive Engine Design Based on Radio Environment Map (REM), Patent Application, VTIP:07-060 http://www.vtip.org/availableTech/technology.php?id=192679.
31. Zhao, Y., J. Gaeddert, L. Morales, K. K. Bae, and J. H. Reed, Development of Radio Environment Map Enabled Case- and Knowledge-based Learning Algorithms for IEEE 802.22 WRAN Cognitive Engines, Proceedings CROWNCOM, pp. 44-49, Orlando, August 2007.
32. Zhao, Y., L. Morales, J. Gaeddert, K. K. Bae, J. Um, and J. H. Reed, Applying Radio Environment Maps to Cognitive WRAN Systems, Proceedings IEEE DySPAN, pp. 115-118, Dublin, April 2007.
33. Zhao, Y., Enabling Cognitive Radios through Radio Environment Maps, Ph.D. Dissertation, Virginia Tech, 2007.
34. Zhao, Y., D. Raymond, C. da Silva, J. H. Reed, and S. Midkiff, Performance Evaluation of Radio Environment Map Enabled Cognitive Spectrum-Sharing Networks, Proceedings IEEE MILCOM, pp. 1-7, Orlando, October 2007.
35. Zhao, Y., S. Mao, J. Neel, and J. H. Reed, Performance Evaluation of Cognitive Radios: Metrics, Utility Functions and Methodologies, submitted to Proceedings IEEE, Special issue on cognitive radio, pp. 1-16, January 2008.
36. Connolly T., Begg C.E. Database Systems: A Practical Approach to Design, Implementation, and Management 2005, Addison-Wesley, . Fourth Edition.
37. Gaeddert, J., K. Kim, R. Menon, L. Morales, Y. Zhao, K. K. Bae, and J. H. Reed, Development of a Cognitive Engine and Analysis of WRAN Cognitive Radio Algorithms, Mobile and Portable Radio Research Group (MPRG) Technical Report, Virginia Tech, December 2006.
38. SOAR-A General Cognitive Architecture for Developing Systems That Exhibit Intelligent Behavior http://sitemaker.umich.edu/soar.
39. Chen, R., and J. Park, Ensuring Trustworthy Spectrum Sensing in Cognitive Radio Networks, Proceedings First IEEE Workshop on Networking Technologies for Software Defined Radio Networks, pp. 110-119, Reston, VA, September 2006.
40. IEEE P802.22 Draft Standard for Wireless Regional Area Networks Part 22: Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Policies and Procedures for Operation in the TV Bands, 2006.
41. Zhao, Y., J. Gaeddert, K. K. Bae, and J. H. Reed, Radio Environment Map-enabled Situation-aware Cognitive Radio Learning Algorithms, Proceedings of Software Defined Radio (SDR) Technical Conference, Orlando, November 2006.
42. Xu L.D. Case-Based Reasoning: A Major Paradigm of Artificial Intelligence. IEEE Potentials Dec. 1994-Jan. 1995, 10-13.
43. Gaeddert, J., K. Kim, R. Menon, L. Morales, Y. Zhao, K. K. Bae, and J. H. Reed, Applying Artificial Intelligence to the Development of a Cognitive Radio Engine, Technical Report, Mobile and Portable Radio Research Group, June 2006.
44. Raymond, D., I. Burbey, Y. Zhao, S. Midkiff, and C. P. Koelling, Impact of Mobility Models on Simulated Ad Hoc Network Performance, Proceedings Ninth International Symposium on Wireless Personal Multimedia Communications, pp. 398-402, San Diego, September 2006.
45. The Network Simulator (NS-2) http://www.isi.edu/nsnam/ns/.
46. Jacquet P., Laouiti A., Minet P., Viennot L. Performance Analysis of OLSR Multipoint Relay Flooding in Two Ad Hoc Wireless Network Models, Research Report 4260, INRIA. RSRCP Journal Special Issue on Mobility and Internet Sept 2001.