Resource planning in cognitive radio networks

Abstract

Cognitive radio is a new paradigm in the evolution of wireless communications to improve spectrum efficiency significantly by utilizing white spaces. In this paper, the mathematical model of the cognitive radio simulator that we develop is introduced and resource planning algorithms for cognitive radio networks is considered. A new resource planning method, which is a fixed assignment strategy, is introduced. The proposed method improves probability of blocking, dropping, and forced termination compared to uniform assignment. Proposed method includes offered traffic, hop count to the most loaded cell, and velocity of mobile users as parameter. Performance of the proposed method is evaluated with the cognitive radio network simulator that is developed.