DocumentCode
266519
Title
Optimal power control for underlay cognitive radio systems with arbitrary input distributions
Author
Ozcan, Gozde ; Gursoy, M. Cenk
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
3453
Lastpage
3458
Abstract
This paper studies optimal power control policies that maximize the achievable rates of underlay cognitive radio systems with arbitrary input distributions under both peak transmit/peak interference power constraints and peak transmit/average interference power constraints for general fading distributions. A low-complexity optimal power control algorithm is proposed. Also, the optimal power control policy in the low-power regime is analyzed. In particular, by considering gamma distributed channel power gains of the interference link between the secondary transmitter and the primary receiver and the transmission link between the secondary transmitter and the secondary receiver, closed-form expressions for the maximum achievable rate attained with the optimal power control strategy in the low-power regime are provided. Through numerical results, the impact of the fading severity of both interference and transmission links and transmit power and interference power constraints on the maximum achievable rate of the cognitive user for different constellations and Gaussian signals are investigated.
Keywords
Gaussian processes; cognitive radio; gamma distribution; optimal control; power control; telecommunication control; Gaussian signals; arbitrary input distributions; cognitive user; gamma distributed channel power gains; general fading distributions; interference link; low-complexity optimal power control algorithm; peak interference power constraints; peak transmit power constraints; transmission link; underlay cognitive radio systems; Binary phase shift keying; Cognitive radio; Fading; Interference; Power control; Receivers; Cognitive radio; MMSE; fading channels; interference power constraint; low-power regime; mutual information; optimal power control; spectrum sharing; transmit power constraint; underlay cognitive radio;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037342
Filename
7037342
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