A kind of novel sub-carrier dispatching approach based on game strategy for EEO (named EESA-EG) has been put forward. In this approach

we adopted the channel state matrix to show the quality of sub-carriers under the banner of relative constraint factors with the height of secondary user

the total data transmission rate limit

total power consumption constraint and power consumption constraint on a single sub-carrier. At the same time

the nonlinear fractional programming mechanism is designed to pursue the maximum of energy efficiency

which is used as the objective function. The utility function for each secondary user is set up when the game operator is developed. If the utility function reaches the optimization

the evolutionary game process will become Nash equilibrium

which is regarded as the relatively optimal energy efficient resource dispatching status. Based on our experimental tests

our proposed approach gives the relatively reasonable sub-carrier dispatching effect

which can dispatch more sub-carriers with relatively better channel state.