Cognitive transmit beamforming from binary CSIT

IEEE Transactions on Wireless Communications

Volumn 14, Issue 2, 2015, Pages 895-906

  Gopalakrishnan, Balasubramanian ^a   Sidiropoulos, Nicholas D ^a  

^a University of Minnesota   (United States)

Author keywords

cognitive radio network underlay; cutting plane method; maximum likelihood; online learning; spatial channel correlation; Transmit beamforming

Indexed keywords

BEAMFORMING; COGNITIVE RADIO; E-LEARNING; INTERFERENCE SUPPRESSION; LEGACY SYSTEMS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; SIGNAL TO NOISE RATIO; SOCIAL NETWORKING (ONLINE);

COGNITIVE RADIO NETWORK; CUTTING PLANE METHODS; ONLINE LEARNING; SPATIAL CHANNEL CORRELATION; TRANSMIT BEAMFORMING;

CHANNEL STATE INFORMATION;

EID: 84922932057     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2014.2362119     Document Type: Article

References (25)

1. A. B. Gershman, N. D. Sidiropoulos, S. Shahbazpanahi, M. Bengtsson, and B. Ottersten, "Convex optimization based beamforming," IEEE Signal Process. Mag., vol. 27, no. 3, pp. 62-75, 2010.
2. Q. Zhao and B. M. Sadler, "A survey of dynamic spectrum access," IEEE Signal Process. Mag., vol. 24, no. 3, pp. 79-89, May 2007.
3. R. A. Tannious and A. Nosratinia, "Cognitive radio protocols based on exploiting hybrid ARQ retransmissions," IEEE Trans. Wireless Commun., vol. 9, no. 9, pp. 2833-2841, Sep. 2010.
4. I. E. Telatar, "Capacity of multiantenna Gaussian channels," Eur. Trans. Telecommun., vol. 10, no. 6, pp. 585-595, Nov./Dec. 1999.
5. A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, "Breaking spectrum gridlock with cognitive radios: An information theoretic perspective," Proc. IEEE, vol. 97, no. 5, pp. 897-914, May 2009.
6. Y. Huang and D. P. Palomar, "Rank-constrained separable semidefinite programming with applications to optimal beamforming," IEEE Trans. Signal Process., vol. 58, no. 2, pp. 664-678, Feb. 2010.
7. Y. Ye and S. Zhang, "New results on quadratic minimization," SIAM J. Optim., vol. 14, no. 1, pp. 245-267, 2003.
8. D. J. Love, R. W. Heath, and T. Strohmer, "Grassmannian beamforming for multiple-input multiple-output wireless systems," IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2735-2747, Oct. 2003.
9. P. Xia and G. B. Giannakis, "Design and analysis of transmit-beamforming based on limited-rate feedback," IEEE Trans. Signal Process., vol. 54, no. 5, pp. 1853-1863, May 2006.
10. R. Zhang, F. Gao, and Y. C. Liang, "Cognitive beamforming made practical: Effective interference channel and learning-throughput tradeoff," IEEE Trans. Commun., vol. 8, no. 2, pp. 706-718, Feb. 2010.
11. F. Gao, R. Zhang, Y. C. Liang, and X. Wang, "Multi-antenna cognitive radio systems: Environmental learning and channel training," in Proc. IEEE ICASSP, Taipei, Taiwan, Apr. 19-24, 2009, pp. 2329-2332.
12. R. Mudumbai, J. Hespanha, U. Madhow, and G. Barriac, "Distributed transmit beamforming using feedback control," IEEE Trans. Inf. Theory, vol. 56, no. 1, pp. 411-426, Jan. 2010.
13. B. C. Banister and J. R. Zielder, "A simple gradient sign algorithm for transmit antenna weight adaptation with feedback," IEEE Trans. Signal Process., vol. 51, no. 5, pp. 1156-1171, May 2003.
14. R. Zhang, "On active learning and supervised transmission of spectrum sharing based cognitive radios by exploiting hidden primary radio feedback," IEEE Trans. Commun., vol. 58, no. 10, pp. 2960-2970, Oct. 2010.
15. Y. Noam and A. J. Goldsmith, "Blind null-space learning for MIMO underlay cognitive radio with primary user interference adaptation," IEEE Trans. Wireless Commun., vol. 12, no. 4, pp. 1722-1734, Dec. 2013.
16. Y. Noam and A. J. Goldsmith, "The one-bit null space learning algorithm and its convergence," IEEE Trans. Signal Process., vol. 61, no. 24, pp. 6135-6149, Dec. 2013.
17. B. Gopalakrishnan and N. D. Sidiropoulos, "Cognitive transmit beam-forming from binary link-feedback for point to point MISO channels," in Proc. IEEE ICASSP, Florence, Italy, May 4-9, 2014, pp. 7293-7297.
18. J. Xu and R. Zhang, "Energy beamforming with one-bit feedback," in Proc. IEEE ICASSP, Florence, Italy, May 4-9, 2014, pp. 3513-3517.
19. S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan, Linear Matrix Inequalities in Systems and Control Theory. Philadelphia, PA, USA: SIAM, 1994.
20. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.
21. S. Boyd and L. Vandenberghe, "Notes on localization and cutting-plane methods," in EE392 Lecture Notes. Stanford, CA, USA: Stanford Univ. Press, Sep. 2003.
22. W. K. Newey and D. McFadden, "Large sample estimation and hypothesis testing," Handbook of Econometrics, vol. 4, 1994.
23. E. Tsakonas, J. Jalden, N. D. Sidiropoulos, and B. Ottersten, "Sparse conjoint analysis through maximum likelihood estimation," IEEE Trans. Signal Process., vol. 61, no. 22, pp. 5704-5715, Nov. 2013.
24. Y. Noam and J. Tabrikian, "Marginal likelihood for estimation and detection theory," IEEE Trans. Signal Process., vol. 55, no. 8, pp. 3963-3974, Aug. 2007.
25. H. White, Estimation, Inference and Specification Analysis. New York, NY, USA: Cambridge Univ. Press, 1994.