基于深度Q网络的5G网络优化方法  

5G Network Optimization Method Based on Deep Q-Network

作　　者：于星辉 YU Xinghui(Zhengzhou University of Industrial Technology,Zhengzhou 451100,China)

机构地区：[1]郑州工业应用技术学院,河南郑州451100

出　　处：《通信电源技术》2023年第19期168-170,共3页Telecom Power Technology

摘　　要：通过探讨基于深度Q网络(Deep Q-Network,DQN)的5G网络优化方法,以提高5G网络的性能和自愈能力。主要研究5G网络的基本架构,包括基站、承载网、电信机房、骨干网络、接入网以及核心网,了解其工作原理,并介绍DQN的结构和数学原理。通过实验测试该方法的可行性。实验结果表明,DQN模型在提升5G网络的自愈能力方面表现出巨大潜力,尤其是在实现最优平均累积奖励和最低均方误差的情况下。The optimization method of 5G network based on Deep Q-Network(DQN)is discussed to improve the performance and self-healing ability of 5G network.This paper mainly studies the basic architecture of 5G network,including base station,bearer network,telecom room,backbone network,access network and core network,understands its working principle,and introduces the structure and mathematical principle of DQN.The feasibility of this method is tested by experiments.The experimental results show that the DQN model has great potential in improving the self-healing ability of 5G networks,especially in the case of achieving the optimal average cumulative reward and the lowest mean square error.

关 键 词：深度Q网络(DQN) 5G网络 自愈能力 优化方法 

分 类 号：TN929.5[电子电信—通信与信息系统]