DocumentCode :
3181814
Title :
Semidefinite Relaxation for Sum-Rate Maximization on Gaussian Cognitive Multiple Access Channel
Author :
Han, Sang-wook ; Kim, Hoon ; Koumadi, Koudjo M. ; Han, Youngnam ; Cioffi, John M.
Author_Institution :
Sch. of Eng., Inf. & Commun. Univ., Daejeon
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper considers a sum-rate-maximizing power allocation for the Gaussian cognitive multiple-access channel (MAC), where primary users and secondary users may communicate under mutual interference. Formulation of the problem as a standard nonconvex quadratically constrained quadratic problem (QCQP) provides a simple method to find a solution using semidefinite relaxation (SDR). Numerical examples for the comparison illustrate a tradeoff between the maximum sum-rate and computational complexity.
Keywords :
Gaussian channels; cognitive radio; computational complexity; multi-access systems; radiofrequency interference; Gaussian cognitive multiple access channel; MAC; computational complexity; power allocation; quadratically constrained quadratic problem; semidefinite relaxation; sum-rate maximization; Bandwidth; Cognitive radio; Computational complexity; Hydrogen; Information theory; Interference constraints; Lagrangian functions; Multiple access interference; Polynomials; Power engineering and energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th
Conference_Location :
Calgary, BC
ISSN :
1090-3038
Print_ISBN :
978-1-4244-1721-6
Electronic_ISBN :
1090-3038
Type :
conf
DOI :
10.1109/VETECF.2008.286
Filename :
4657118
Link To Document :
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