DocumentCode :
180248
Title :
Mobile distributed compressive sensing for spectrum sensing
Author :
Havary-Nassab, Veria ; Valaee, S. ; Shahbazpanahi, Shahram
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
7273
Lastpage :
7277
Abstract :
This paper studies the effect of mobility on the sensing performance of a cognitive radio network with mobile nodes. The secondary nodes sense the spectrum using a distributed compressive sensing approach to detect the available channels. Distributed compressive sensing is suggested to reduce the number of samples by exploiting correlation between the samples. Channel occupancy at the two nodes will be jointly estimated and a channel available at the location of both nodes is chosen for communication. We show that mobility can be exploited to further decrease the number of samples by increasing the average level of correlation among the sensed samples over time.
Keywords :
mobile radio; radio spectrum management; signal detection; telecommunication channels; channel detection; channel occupancy; cognitive radio network; distributed compressive sensing approach; mobile distributed compressive sensing; mobile nodes; mobility; secondary nodes sense; spectrum sensing; Acoustics; Conferences; Decision support systems; Radio frequency; Speech; Speech processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6855012
Filename :
6855012
Link To Document :
بازگشت