The capacity of cognitive ad-hoc networks with carrier sensing errors

We analyze the capacity of cognitive ad-hoc networks under the effects of sensing errors: false alarm and missed detection. We present an ad-hoc network model overlaid on a primary system from which a cognitive node exploits spectrum holes for retransmissions. We derive per-link capacity, the indicator of the network´s capacity, by considering statistics of the primary users´ (PUs) channel occupancy and sensing errors. Our analysis shows that the capacity scaling law is kept unchanged, O(1/√(log n)) by the number of nodes n, even after sensing errors are introduced. It also shows how the capacity depends on the PUs´ channel occupancy and sensing errors.