Low Complexity Active Interference Cancellation for OFDM Cognitive Radios

In this paper, the avoidance problem in detect and avoid (DAA) technology of an orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) is addressed. The focus is on reducing the computational complexity of the active interference cancellation (AIC) technique. Three methods are...

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Bibliographic Details
Published in2008 IEEE Wireless Communications and Networking Conference pp. 1279 - 1283
Main Authors Shih-Gu Huang, Chien-Hwa Hwang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2008
Subjects
Chromium
Cognitive radio
Communications Society
Computational complexity
FCC
Interference cancellation
OFDM
Resource management
Time domain analysis
Wireless communication
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Summary:In this paper, the avoidance problem in detect and avoid (DAA) technology of an orthogonal frequency division multiplexing (OFDM) based cognitive radio (CR) is addressed. The focus is on reducing the computational complexity of the active interference cancellation (AIC) technique. Three methods are proposed. These methods mainly rely on the properties that: (i) many matrices occurred in AIC depend only on the number of tones to be avoided and are irrelevant to where these tones reside, and (ii) there exists a statistical relation between the tones to be avoided and the auxiliary tones employed to aid nulling the transmitted sidelobes.
ISBN:1424419972
9781424419975
ISSN:1525-3511
1558-2612
DOI:10.1109/WCNC.2008.230