Considering the complex beam configuration problem of ultra-dense millimeter wave communication systems,a Beam management Method based on Distributed Federation Learning(BMDFL)is proposed to maximize the beam coverage by using the limited beam resources.To solve the problem of user data security in traditional centralized learning,the system model is constructed based on DFL,which can reduce the leakage of user privacy information.In order to realize intelligent configuration of beams,Double Deep Q-Network(DDQN)is introduced to train the system model,and the long-term dynamic optimization problem is transformed into the corresponding mathematical model through the Markov decision process.Simulation results demonstrate the effectiveness and robustness of the proposed method in terms of network throughput and user coverage.
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