A firefly algorithm for distributed power optimization of Macrocell base station

With the development of urban construction, low coverage probability, low voice quality and high rate of dropped calls have been the new network problems. But blindly adopting the way of increasing the sending power will result in the overall system power down, and increase inter-cell interference. The paper proposes a distributed energy-efficient self-optimization model of power, which is mainly for downlink of OFDMA cellular networks. While ensure good call quality, achieve energy conservation and reduce operating costs. In this paper, we propose a firefly swarm intelligence algorithm to solve the model. Through the numerical simulation, the optimal parameter combination of the algorithm in macro cell utility function is obtained and the efficiency of the algorithm is validated.