Abstract: A novel system model and energy efficiency analysis method were studied to solve the problem of the performance analysis of broadcast and communication converged network. From the perspective of the user request, the business could be classified as the popular part and the non-popular part. Based on the random spatial network model, cellular base stations and users were modeled as two independent spatial Poisson point processes (PPP), while the broadcast tower was assumed to locate in the center of service regions. By further exploiting the coverage of broadcast network and the outage probability of cellular network, the closed-form expression of the converged network energy efficiency (EE) was derived, and the impact of popular business probability to the energy efficiency was discussed. Simulation results show that assuming the mentioned converged system model and the general density of BS and user, the energy efficiency of converged network would be significantly improved compared to pure cellular network when the probability of popular businesses is more than . The novel model and energy efficiency analysis method provide the foundation for the study of the overall performance of the converged network.