Opportunistic spectrum access is an effective method to improve the spectrum utilization.In this paper

a multi-objective optimization model is proposed to take the time-variance characteristic of wireless channel

confidence level of sub-channel detection and the mutual interference between the primary networks and the cognitive radio networks into consideration

in which the effective capacity and user satisfaction are jointly optimized.Then

we also present a resource allocation scheme for power allocation and user scheduling (PAUS).The simulation results show that in lower density environment for the primary user

the proposed optimization model can achieve better performance in user satisfaction than that of the model to maximize the system capacity

and it can obtain higher network capacity than that of the optimization model to maximize the user satisfaction.