Interference reduction by beamforming in cognitive networks

GLOBECOM - IEEE Global Telecommunications Conference

Volumn , Issue , 2008, Pages 4406-4411

  Yiu, Simon ^a   Vu, Mai ^a   Tarokh, Vahid ^a  

^a HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BEAM FORMERS; COGNITIVE NETWORK; EXPECTED VALUES; INTERFERENCE REDUCTION; LOWER AND UPPER BOUNDS; MATHEMATICAL TOOLS; PATH LOSS; PERFORMANCE MEASURE; RANDOM MATRIX THEORY; RECEIVED SIGNALS; SIGNAL-TO-INTERFERENCE RATIO; SINGLE-ANTENNA RECEIVERS;

ANTENNAS; BEAMFORMING;

SIGNAL RECEIVERS;

EID: 67249100450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2008.ECP.845     Document Type: Conference Paper

References (17)

1. United States frequency allocations: The radio spectrum. U.S. Department of Commerce, National Telecommunications and Information Administration, Office of Spectrum Management, October 2003.
2. Spectrum policy task force report. Federal Communications Commision Tech. Rep. 02-155, November 2002.
3. J. Mitola. Cognitive Radio. PhD thesis, Royal Institute of Technology (KTH), 2000.
4. S. Srinivasa and S. A. Jafar. The throughput potential of cognitive radio: A theoretical perspective. IEEE Communications Magazine, 45(5):73- 79, May 2007.
5. B. D. V. Veen and K. M. Buckley. Beamforming: A versatile approach to spatial filtering. IEEE ASSP Magazine, pages 4-24, 1988.
6. G. Jongren, M. Skoglund, and B. Ottersten. Combining beamforming and orthogonal space-time block coding. IEEE Trans. Inform. Theory, 48(3):611-627, March 2002.
7. M. Bengtsson and B. Ottersten. Uplink and downlink beamforming for fading channels. In Proceedings of Signal Processing Advances in Wireless Communications, pages 350-353, Annapolis, Maryland, USA, May 1999.
8. V.A.Marčenko and L. A. Pastur. Distribution of eigenvalues for some sets of random matrices. Math USSR Sbornik, 1:457-483, 1967.
9. K. Washizu. On the bounds of eigenvalues. Quarterly Journal of Mechanics & Applied Mathematics, 8(3):311-325, 1955.
10. Y. Q. Yin, Z. D. Bai, and P. R. Krishnaiah. On the limit of the largest eigenvalues of the large dimensional sample covariance matrix. Probability Theory and Related Fields, 78(4):509-521, August 1988.
11. Z. D. Bai and Y. Q. Yin. Limit of the smallest eigenvalue of a large dimensional sample covariance matrix. The Annals of Probability, 21(3):1275-1294, 1993.
12. A. M. Marshall and I. Olkin. Inequalities: Theory of Majorization and Its Applications. Academic Press, 1979.
13. S. Yiu, M. Vu, and V. Tarokh. Interference and noise reduction by beamforming in cognitive networks. In preparation.
14. N. I. Akhiezer. The classical moment problem and some related questions in analysis. Hafner Pub. Co., New York, 1965.
15. J. W. Silverstein and Z. D. Bai. On the empirical distribution of eigenvalues of a class of large dimensional random matrices. Journal of Multivariate Analysis, 54(2):175-192, August 1995.
16. J. W. Silverstein and S.-I. Choi. Analysis of the limiting spectral distribution of large dimensional random matrices. Journal ofMultivariate Analysis, 54(2):295-309, August 1995.
17. Z. D. Bai and J. W. Silverstein. No eigenvalues outside the support of the limiting spectral distribution of large dimensional sample covariance matrices. The Annals of Probability, 26(1):316-345, January 1998.