DocumentCode
118475
Title
Power allocation grouping scheme considering constraints in two separate stages for OFDM-based cognitive radio system
Author
Hosseini, Elham ; Falahati, Abolfazel
Author_Institution
Iran Univ. of Sci. & Technol., Tehran, Iran
fYear
2014
fDate
13-15 Feb. 2014
Firstpage
1
Lastpage
6
Abstract
A power allocation grouping scheme for orthogonal frequency division multiplexing (OFDM)-based Cognitive Radio systems is proposed that can improve capacity while the interference power for primary user receivers stays at constant level. In this scheme, all idle subcarriers are divided into four groups based on the inserted interference power level into the primary user frequency band. Then, the power is allocated to subcarriers in two stages. At the first stage, considering interference constraint, the power is assigned to subcarriers into groups 1, 2 and 3. At the second stage, the remaining power is allocated to other idle subcarriers with water filling algorithm. The numerical results show that the capacity is improved by 20 bps up to 45 bps with the increase in maximum power budget over cognitive radio system. Indeed, the interference power level is unchanged with increasing the transmit power for proposed cognitive radio system.
Keywords
OFDM modulation; cognitive radio; radio receivers; radiofrequency interference; OFDM-based cognitive radio system; interference constraint; interference power level; orthogonal frequency division multiplexing; power allocation grouping scheme; primary user frequency band; primary user receivers; subcarriers; water filling algorithm; Algorithm design and analysis; Cognitive radio; Interference channels; Interference constraints; OFDM; Resource management; Cognitive Radio; OFDM; Power Allocation Algorithm; Water Filling Algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Information and Communication Technology (EICT), 2013 International Conference on
Conference_Location
Khulna
Print_ISBN
978-1-4799-2297-0
Type
conf
DOI
10.1109/EICT.2014.6777841
Filename
6777841
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