Optimal linear fusion for distributed spectrum sensing via semidefinite programming

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.


Published in:
IEEE International Conference on Acoustics, Speech and Signal Processing, 3629-3632
Presented at:
ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, April 19-24, 2009
Year:
2009
Publisher:
IEEE
Laboratories:




 Record created 2017-12-19, last modified 2018-03-17


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