Integrated satellite and terrestrial networks are the integrated networks in which the satellite network and the terrestrial network are interconnected to realize the complementary advantages of the satellite network and the terrestrial network. With the rapid development of wireless communication， the co-frequency multiplexing technology of integrated satellite and terrestrial networks can effectively improve the resource utilization efficiency and meet the growing demands of wireless data services. However， due to the diversity of wireless data services and the scarcity of spectrum resources， how to improve the quality of experience （QoE） and fairness has become a key problem to be solved in the integrated satellite and terrestrial networks. We investigate a general QoE-aware dynamic resource allocation strategy with consideration of the time-varying channels， diversified user’s quality of experience and fairness for the integrated satellite and terrestrial networks. To do so， we formulate the objective problem as the maximization of the network fairness utility based on the time-averaged QoE. By using the Lyapunov optimization theory， we further transform and decompose the initial problem into three subproblems which can be independently solved at each slot. Meanwhile， we derive a low complexity two-step algorithm to solve the third resource allocation subproblem which is a non-concave mix combination optimization problem. The simulation results reveal the tradeoff between user’s long-term time-averaged QoE and fairness performance under different fairness parameters.