Capacity and Delay Scaling Laws for Cognitive Radio Networks With Routing and Network Coding
The authors characterize the asymptotic behavior of the throughput capacity and packet delay in Cognitive Radio (CR) networks. For the model where the network density grows, they derive the scaling laws for Secondary Users (SUs) who opportunistically access the spectrum when Primary Users (PUs) are idle. More specifically, they assume that SUs do not know PU (transmitter or receiver) locations a priori, and access local channels only after sensing them idle. They consider general overlay networks with arbitrary scaling of the number of PUs and SUs, and assume that PU transmissions are on and off intermittently in a dynamic network operation. Accordingly, the asymptotic SU performance is characterized in terms of the average area covered by PU transmissions.