Physical layer cognitive engine for multi-antenna systems

Proceedings - IEEE Military Communications Conference MILCOM

Volumn , Issue , 2008, Pages

  Volos, Haris I ^a   Phelps, Chris I ^a   Buehrer, R Michael ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

BAYES' RULES; BINARY SEARCHES; BRUTE FORCE SEARCHES; CHANNEL CONDITIONS; MEMORY SAVINGS; MULTI ANTENNAS; MULTI-ANTENNA SYSTEMS; OPTIMALITY; PHYSICAL LAYERS; REFERENCE DESIGNS; REFERENCE SYSTEMS; SEMI-NAIVE BAYES;

COGNITIVE SYSTEMS; DESIGN; OPTIMIZATION; PARAMETER ESTIMATION; RECEIVING ANTENNAS; TURBO CODES;

MILITARY COMMUNICATIONS;

EID: 78650759373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MILCOM.2008.4753560     Document Type: Conference Paper

References (14)

1. J. M. III, "Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio," Ph.D. dissertation, KTH, Stockholm, Sweden, 'May' 2000.
2. J. Chapin and W. H. Lehr, "Cognitive radios for dynamic spectrum access - the path to market success for dynamic spectrum access technology," Communications Magazine, IEEE, vol. 45, no. 5, pp. 96-103, May 2007.
3. S. Haykin, "Cognitive radio: brain-empowered wireless communications," Selected Areas in Communications, IEEE Journal on, vol. 23, no. 2, pp. 201-220, 2005. [Online]. Available: http://dx.doi.org/10. 1109/JSAC.2004.839380
4. N. Devroye, P. Mitran, and V. Tarokh, "Achievable rates in cognitive radio channels," Information Theory, IEEE Transactions on, vol. 52, no. 5, pp. 1813-1827, May 2006.
5. M. Pursley and T. Royster, "Low-complexity adaptive transmission for cognitive radios in dynamic spectrum access networks," Selected Areas in Communications, IEEE Journal on, vol. 26, no. 1, pp. 83-94, Jan. 2008.
6. R. W. Thomas, D. H. Friend, L. A. Dasilva, and A. B. Mackenzie, "Cognitive networks: adaptation and learning to achieve end-to-end performance objectives," Communications Magazine, IEEE, vol. 44, no. 12, pp. 51-57, Dec. 2006.
7. C. Clancy, J. Hecker, E. Stuntebeck, and T. O'Shea, "Applications of Machine Learning to Cognitive Radio Networks," IEEE Wireless Communications, vol. 14, no. 4, pp. 47-52, August 2007.
8. T. W. Rondeau, "Application of Artificial Intelligence to Wireless Communications," Ph.D. dissertation, Virginia Tech, 2007.
9. M. Jankiraman, Space-Time Codes and MIMO Systems. Norwood: Artech House, 2004.
10. H. I. Volos, C. I. Phelps, and R. M. Buehrer, "Initial Design of a Cognitive Engine for MIMO Systems," in SDR Forum Technical Conference, Nov 2007.
11. T. M. Mitchell, Machine Learning. New York: McGraw-Hill, 1997.
12. N. B. Dale, C. Weems, and M. R. Headington, Programming in C++. USA: Jones and Bartlett Publishers, Inc., 2000.
13. J. Proakis, Digital Communications, 4th ed. New York: McGraw-Hill, 2001.
14. R. M. Buehrer, "Generalized Equations for Spatial Correlation for Low to Moderate Angle Spread," in Virginia Tech Symposium on Wireless Personal Communications, June 2000, pp. 123-130.