In the evolution of contemporary communication systems, user experience plays an increasingly vital role, making quality of experience (QoE) a widely utilized metric that intuitively reflects the end-users’ perception of wireless services. To addresses the access and allocation problems within Het-CRN in smart home environments with multi-service muli-channel, a QoE-driven wireless resource allocation scheme is proposed. This scheme combines the improved simple additive weighting (SAW) and analytic hierarchy process (AHP) method to comprehensively evaluate the user preferences, service requirements, and channel parameters that affect user experience to obtain the objective and subjective weights of different services and further calculate the comprehensive weighs. In this scheme, a Markov model is established to describe the Het-CRN system state based on queuing theory. The model can effectively analyze the behavior under different user loads. Thus, the performance of different access and allocation algorithms can be evaluated by using the proposed scheme. Numerical results show that the proposed comprehensive weighting method significantly improves the user satisfaction of different services and significantly improves the quality of user experience compared to the SAW and AHP methods. By analyzing the performance results in conjunction with the relative standard deviation, it is further demonstrated that the comprehensive weighting method exhibits higher precision on key performance indicators such as throughput, delay, and rejection rate, and more accurately meets the actual user needs.