e consider a cooperative cognitive wireless network scenario 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 decisions 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.
|Titolo:||Optimum decision fusion in cognitive wireless sensor networks with unknown users location|
|Citazione:||Abrardo, A., & Barni, M. (2015). Optimum decision fusion in cognitive wireless sensor networks with unknown users location. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp.3212-3216). New York : IEEE.|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|
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