Cooperative Spectrum Sensing Under a Random Geometric Primary User Network Model
The authors propose a novel cooperative spectrum sensing algorithm for a Cognitive Radio (CR) network to detect a Primary User (PU) network that exhibits some degree of randomness in topology (e.g., due to mobility). They model the PU network as a random geometric network that can better describe small-scale mobile PUs. Based on this model, they formulate the random PU network detection problem in which the CR network detects the presence of a PU receiver within a given detection area. To address this problem, they propose a location-aware cooperative sensing algorithm that linearly combines multiple sensing results from Secondary Users (SUs) according to their geographical locations.