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conference paper
Optimal linear fusion for distributed spectrum sensing via semidefinite programming
2009
IEEE International Conference on Acoustics, Speech and Signal Processing
As an enabling functionality of overlay cognitive radio networks, spectrum sensing needs to reliably detect licensed signal in the band of interest. To achieve reliable sensing, we propose a linear fusion scheme for distributed spectrum sensing to combine the sensing results from multiple spatially distributed cognitive radios. The optimal linear fusion design is formulated into a nonconvex optimization problem. We show that the optimal solution of such a nonconvex problem can be solved via semi-definite programming reformulation.
Type
conference paper
Authors
Publication date
2009
Publisher
Published in
IEEE International Conference on Acoustics, Speech and Signal Processing
Start page
3629
End page
3632
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Taipei, Taiwan | April 19-24, 2009 | |
Available on Infoscience
December 19, 2017
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