DocumentCode :
148690
Title :
Power control for underlay in-band spectrum sharing in device-to-device communications
Author :
Siduo Shen ; Tat-Ming Lok
Author_Institution :
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2014
fDate :
6-9 April 2014
Firstpage :
1350
Lastpage :
1355
Abstract :
In this work, we consider a cellular cell with D2D links being activated. Besides, the transmission scheme is assumed to be OFDM. With the underlay in-band spectrum sharing scheme, the D2D links can access the spectrum occupied by the cellular links. Hence, the D2D links may interfere with the existing cellular links. Moreover, since the D2D links´ channels could overlap, the D2D links are modeled as parallel Gaussian interference channels. Our objective is to design a power control algorithm to maintain the existing cellular links´ performance and to maximize each D2D links´ transmission rate. The existing cellular links´ performance is measured by the outage probability of each subchannel. We formulate a generalized Nash game which is analyzed with the variational inequality theory. The players of the game is the D2D links and the coupled constraints of the players are the outage probability constraints of the cellular links. However, the problem is a non-convex one. By observing the problem structure, we are able to propose an efficient heuristic algorithm which can be implemented distributively. In the end, the performance of the algorithm is demonstrated with simulation results.
Keywords :
OFDM modulation; cellular radio; concave programming; game theory; power control; probability; radio spectrum management; D2D link channels; D2D link transmission rate; OFDM; cellular cell; cellular link performance; device-to-device communications; generalized Nash game; nonconvex problem; outage probability constraint; parallel Gaussian interference channels; power control algorithm; transmission scheme; underlay in-band spectrum sharing scheme; variational inequality theory; Algorithm design and analysis; Games; Heuristic algorithms; Interference; Power control; Resource management; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
Type :
conf
DOI :
10.1109/WCNC.2014.6952366
Filename :
6952366
Link To Document :
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