Throughput comparison for Cognitive Radio network under various conditions of primary user and channel noise signals

Spectrum scarcity is increasing with the growing demand of number of wireless technologies and services. Cognitive Radio (CR) techniques have become reliable solution for solving spectral congestion problem. For utilization of unused electromagnetic spectrum in a cognitive radio network, it is necessary for secondary users to monitor the available spectrum (allocated to primary users) and identify the free spectrum (spectrum holes). In this paper primary user signal and channel noise conditions are discussed. Earlier literature has worked on one of these conditions. What are these conditions? Primary user signal and channel noise can be real valued signal or complex valued signal. There modulation schemes may also be different. In this paper classification of primary user signal and channel noise is discussed. The probability of false alarm, probability of detection and throughput of secondary network (user) is calculated and a comparison of throughput of secondary user for different conditions of primary user signal and channel noise is being presented.