Efficient power allocation schemes for nonconvex sum-rate maximization on gaussian cognitive MAC

IEEE Transactions on Communications

Volumn 58, Issue 3, 2010, Pages 753-757

  Han, Sang Wook ^a   Kim, Hoon ^b   Han, Youngnam ^c   Cioffi, John M ^d  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b SolarLight Ltd   (South Korea)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^d Stanford University   (United States)

Author keywords

Cognitive radio; Gaussian cognitive MAC; Nonconvex QCQP; Semidefinite relaxation (SDR); Sum rate maximization

Indexed keywords

COGNITIVE RADIO; GAUSSIANS; NONCONVEX; SEMIDEFINITE RELAXATION; SUM-RATE;

INFORMATION RETRIEVAL; MULTIPLE ACCESS INTERFERENCE; POLYNOMIAL APPROXIMATION; RADIO;

OPTIMIZATION;

EID: 77949416742     PISSN: 00906778     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCOMM.2010.03.080151     Document Type: Article

References (10)

1. S. Haykin, "Cognitive radio: brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol.23, pp. 201-220, Feb. 2005.
2. N. Devroye, P. Mitan, and V. Tarokh, "Achievable rates in cognitive radio channels," IEEE Trans. Inf. Theory, vol.52, pp. 1813-1827, May 2006.
3. A. Jovicic and P. Vishwanath, "Cognitive radio: an information-theoretic perspective," to appear in IEEE Trans. Inf. Theory.
4. P. Cheng, G. Yu, Z. Zhang, H.-H. Chen, and P. Qiu, "On the achievable rate region of Gaussian cognitive multiple access channel," IEEE Commun. Lett., vol.11, pp. 384-386, May 2007.
5. M. H. M. Costa, "Writing on dirty paper," IEEE Trans. Inf. Theory, vol.29, pp. 439-441, May 1983
6. Y.-H. Kim, A. Sutivong, and S. Sigurjonsson, "Multiple user writing on dirty paper," in Proc. IEEE ISIT' 2004, pp. 534, June 2004.
7. A. d'Aspremont and S. Boyd, "Relaxation and randomized method for nonconvex QCQPs," class note. [Online]. Available: http://www.stanford.edu/ class/ee392o/.
8. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, UK: Cambridge University Press, 2004.
9. M. Grant, S. Boyd, and Y. Ye, CVX: Matlab software for disciplined convex programming. [Online]. Available: http://stanford.edu/ boyd/cvx/.
10. M. Chiang, ELE 539A: optimization of communication systems, lecture note 15 (SDP and detection and estimation). [Online]. Available: http://www. princeton.edu/ chiangm/ele539l15.pdf