Femtocell network is an efficient technique to improve the coverage performance indoor and promote the capacity of wireless communications. However, the uncertainty of channel gain caused by the dynamic communication environment deteriorates the quality of service of users. The power control problem of two-tier femtocell networks is studied based on bit error rate constraint in the fast fading channel environment. Considering the requirements in aspect of outage probability of signal transmission and the quality of service index-bit error rate, the optimization problem under the probability constraint is constructed to maximize the net income of the two-tier femtocell networks, which makes the communication performance of the network system optimal. By processing the probability constraint, it is transformed into a deterministic expression form, and the distributed robust optimization algorithm is proposed to solve the equivalent deterministic optimization problem, so as to obtain the optimal solution of the optimization problem. Finally, the convergence and effectiveness of the proposed distributed optimization algorithm are verified by simulations.