Analytical Modeling and Performance Evaluation of Cognitive Radio Networks

In this paper, an analytical model for Infrastructure based Cognitive Radio Networks is proposed and its performance evaluated. The architecture is composed of multiple cognitive radio base stations, and the state of the system depends on the activity of primary and secondary users in each cell. An analytical model for Cognitive Radio Network with multiple cells is developed and performance metrics like the probabilities of dropping and blocking for primary and secondary users as well as forced termination and forced frequency handoff for secondary users are investigated. The analytical model is also verified with simulations. The elementary events cause changes in the current state of the whole system. Cell dwell time and frequency holding time are used to determine the handoff behavior of the users. The proposed model is analyzed via simulations to estimate the performance metrics. Numerical results are obtained with different request rates, frequency holding times, cell dwell times, and also under heterogeneous cell load.