Title
Improved Performance Of Spectrum Cartography Based On Compressive Sensing In Cognitive Radio Networks
Abstract
Spectrum cartography is the process of constructing a map showing Radio Frequency signal strength over a finite geographical area. Multiple research groups have recently proposed to use spectrum cartography in the context of discovering spectrum holes in space that can be exploited locally in cognitive radio networks. In our novel approach, we exploit the sparsity of primary users in space to formulate the cartography process as a compressive sensing problem. Further, we present a novel algorithm for solving the cartography problem that builds on the well-known Orthogonal Matching Pursuit algorithm. We evaluate the performance of our approach by simulating a cognitive radio network where primary users are low power wireless microphones. Our simulation results show a significant improvement in reconstruction error, in comparison to two existing compressive sensing based methods.
Year
DOI
Venue
2013
10.1109/ICC.2013.6655495
2013 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Keywords
Field
DocType
Cognitive Radio, Spectrum Cartography, Compressive Sensing, Orthogonal Matching Pursuit
Wireless,Computer science,Iterative method,Exploit,Reconstruction error,Time–frequency analysis,Signal reconstruction,Cartography,Compressed sensing,Cognitive radio
Conference
ISSN
Citations 
PageRank 
1550-3607
15
0.88
References 
Authors
6
5
Name
Order
Citations
PageRank
Beeshanga Abewardana Jayawickrama1478.16
Eryk Dutkiewicz2891122.78
Ian Oppermann315417.90
Gengfa Fang412824.24
Jie Ding5150.88