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OPTIMUM DECISION FUSION IN COGNITIVE WIRELESS SENSOR NETWORKS WITH UNKNOWN USERS LOCATION

Citation Author(s):
Andrea Abrardo
Submitted by:
Mauro Barni
Last updated:
23 February 2016 - 1:44pm
Document Type:
Research Manuscript

Abstract

We consider a cooperative cognitive wireless network sce- nario where a primary wireless network is co-located with a cognitive (or secondary) network. In the considered scenario, the nodes of the secondary network make local binary de- cisions about the presence of a signal emitted by a primary node. Then, they transmit their decisions to a fusion center (FC). The final decision about the channel state is up to the FC by means of a proper fusion rule.
In this scenario, we derive the optimum decision strategy for the FC and the optimum local decision thresholds of the secondary nodes in a Neyman-Pearson setup. In particular, the overall system performance are derived by making the realistic assumption that the position of the primary user is completely unknown to the FC.

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