Research on channel selection algorithm in cognitive wireless network
Guangming Liu · Digital Communication · 2009
In this paper,the channel selection strategy for secondary users in cognitive radio network is studied.Since the returning probability of primary users on each channel is different,a secondary user needs an optimal channel to maximize the probability of successful transmissions for sequentially avoiding collisions with primary users.A channel selection algorithm based on EWA learning is proposed.Simulation result shows that with this algorithm,secondary users are able to select the optimal channel adaptively by learning the history information of channel selection,and then the secondary users could minimize the collision probability and reduce the possibility of channel switching.