On minimum sensing error with spectrum sensing using counting rule in cognitive radio networks
Proceedings of the 4th Annual International Conference on Wireless Internet
| Hi-index | 754.84 |
We show that randomized fusion rules can be locally optimal in distributed detection systems under the Neyman-Pearson criterion. This result is contrary to common belief. We first formulate conditions for a randomized fusion rule to be locally optimal. Then, we present distribution functions of local observations that satisfy these conditions