Performance evaluation model for spectrum decision methods in cognitive radio

In this paper analysed different spectrum decision methods in a Cognitive radio network. An analytical system model proposed to compare channel selection algorithms by main operational parameters to minimize total system selection time. The considered methods which are based on balancing traffic load can distribute secondary users load to multiple channels, in contradistinction to non-load-balancing methods that chose the first channel with the lowest busy probability. When the secondary users traffic load is low, the probability-based method compared to the sensing-based method shows a reduce of total system time, otherwise, when traffic load is high the sensing-based method can improve total system time from 20% up to 50%, unlike the other methods.