DocumentCode
1581851
Title
Cyclostationarity-inducing transmission for OFDM-based spectrum sharing systems
Author
Harada, Hiroki ; Fujii, Hiromasa ; Miura, Shunji ; Ohya, Tomoyuki
Author_Institution
Res. Labs., NTT DOCOMO, Inc., Japan
fYear
2010
Firstpage
956
Lastpage
961
Abstract
This paper introduces cyclostationarity-inducing transmission methods for identifying OFDM-based signals in spectrum-shared environments. Specifically, the OFDM signal is configured before transmission such that its cyclic autocorrelation function (CAF) has certain peaks at preselected cycle frequencies and time lags. By choosing specific peak patterns for each transmitter, the cognitive receivers can obtain the necessary information for coordinating spectrum sharing environments. We investigate several improvements to cyclostationarity-inducing transmission such as an overhead reduction method and flexible peak induction method. The newly-proposed flexible peak induction method extends the position of the CAF peaks into not only the cycle frequency domain but also the lag parameter domain. The signal identification performance is evaluated based on computer simulation and testbed experiments.
Keywords
OFDM modulation; cognitive radio; radio receivers; radio spectrum management; radio transmitters; OFDM-based spectrum sharing system; cognitive receiver; computer simulation; cycle frequency domain; cyclic autocorrelation function; cyclostationarity-inducing transmission; flexible peak induction method; lag parameter domain; overhead reduction method; signal identification performance; spectrum sharing environment coordinating; spectrum-shared environment; transmitter; Converters; Fading; Frequency control; OFDM; Receivers; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies (ISCIT), 2010 International Symposium on
Conference_Location
Tokyo
Print_ISBN
978-1-4244-7007-5
Electronic_ISBN
978-1-4244-7009-9
Type
conf
DOI
10.1109/ISCIT.2010.5665125
Filename
5665125
Link To Document