Dynamic spectrum access based on evolutionary game in cognitive radio network
认知无线网络中基于进化博弈的动态频谱接入*

This paper investigated the dynamic spectrum access (OSA) based on price dynamics in cognitive radio networks in which different licensed network providers sell idle spectrum at different price to cognitive networks, and secondary users dynamically access different licensed networks according to the received payoff. In order to maximize the utility of cognitive network, proposed a dynamic spectrum access approach based on evolutionary game. The simulation shows that the number of secondary users that select each licensed networks achieve steady state when the population of secondary users arrive at evolutionary equilibrium and consequently maximize the utility of cognitive network.