On Capacity Scaling Law of Cognitive Radio Ad Hoc Networks
Cognitive radio is envisioned to be an enabling radio technology for future wireless networks. In this paper, the authors study the capacity scaling laws for Cognitive Radio ad hoc Networks (CRNs), i.e., how each individual node's capacity scales as the number of nodes in the network increases. This effort is critical to the fundamental understanding of the scalability of such network. However, due to the heterogeneity in available frequency bands at each node, the asymptotic capacity is much more difficult to develop than prior efforts for other types of wireless networks.