Throughput Analysis of Multichannel Cognitive Radio Networks Based on Stochastic Geometry

In this paper, we consider an underlay type cognitive radio network with multiple secondary users who contend to access multiple heterogeneous primary channels. With the help of stochastic geometry we develop a new analytical model to analyze the throughput of a random channel access protocol where each secondary user determines whether to access a primary channel based on a given access probability. Due to the interference-free region that we newly introduce we can easily analyze the throughput of a random channel access protocol. Numerical examples are provided to validate our analysis.