Subcarrier Allocation Based on Water-Filling Level in OFDMA-Based Cognitive Radio Networks

Cognitive radio makes it possible for an unlicensed user to access a spectrum unoccupied by the licensed user. In this paper, the resource allocation is investigated for OFDMA-based cognitive radio networks. Considering the characteristics of cognitive radio and OFDMA, an improved water-filling powe...

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Bibliographic Details
Published in2007 International Conference on Wireless Communications, Networking and Mobile Computing pp. 196 - 199
Main Authors Tao Peng, Wei Wang, Qianxi Lu, Wenbo Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
AWGN
Cognitive radio
Downlink
Interference constraints
Resource management
Signal processing
Signal processing algorithms
Signal to noise ratio
System performance
Temperature
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Summary:Cognitive radio makes it possible for an unlicensed user to access a spectrum unoccupied by the licensed user. In this paper, the resource allocation is investigated for OFDMA-based cognitive radio networks. Considering the characteristics of cognitive radio and OFDMA, an improved water-filling power allocation scheme is proposed under the interference temperature constraints. Based on the improved water-filling power allocation, the subcarrier allocation algorithms for both downlink and uplink are proposed. In these algorithms, the subcarriers are allocated to the users with the best channel quality initially and then adjusted to improve the system performance. The subcarrier adjustment rules are obtained by strict theoretical deduction. Finally, the performance of the proposed subcarrier allocation algorithms is investigated by numerical results.
ISBN:1424413117
9781424413119
ISSN:2161-9646
DOI:10.1109/WICOM.2007.56