Dense femtocells can boost the network capacity, and also significantly increase the energy consumption of the network. In order to improve the energy-efficiency of dense femtocells, resource allocation algorithm of maximizing the total energy efficiency of the dense femtocells network is proposed considering heterogeneous services, circuit power, and cross-tier interference, which uses the theory of Dinkelbach and Lagrangian dual decomposition method to solve the optimization problem, and the algorithm complexity is also analyzed. Simulation results show that, the proposed resource allocation algorithm has higher energy-efficiency than the existing resource allocation algorithm with energy- efficiency improved by about 20%.