DocumentCode :
2507420
Title :
Power Allocation in OFDM-Based Cognitive Radio Systems
Author :
Wang, Peng ; Zhao, Ming ; Xiao, Limin ; Zhou, Shidong ; Wang, Jing
Author_Institution :
Tsinghua Univ., Beijing
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
4061
Lastpage :
4065
Abstract :
In this paper, we investigate the optimal power allocation strategy that aims at maximizing the capacity in OFDM- based cognitive radio systems. We show that the traditional water-filling algorithm applied in general OFDM systems needs to be modified due to the per subchannel power constraints in such systems. An iterative partitioned water-filling algorithm is proposed and proved to be optimal based on the convex optimization theory.
Keywords :
OFDM modulation; channel allocation; cognitive radio; OFDM-based cognitive radio systems; iterative partitioned water-filling algorithm; power allocation; subchannel power constraints; Chromium; Cognitive radio; FCC; Information science; Interference constraints; Iterative algorithms; Laboratories; OFDM; Partitioning algorithms; Power system modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.772
Filename :
4411682
Link To Document :
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