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