基于强化学习的医院通信网络数据链抗干扰系统

Anti⁃interference system of hospital communication network data link based on reinforcement learning

随着医院通信网络数据规模的不断扩大,为解决干扰性信息过度占据原始通信数据传输波段的问题,设计了一种基于强化学习的医院通信网络数据链抗干扰系统。根据通信网络的布局规划形式,设计基于FPGA的收发器和数据链路调度模块,求解强化学习函数表达式,按照通信数据跳频系数取值结果,确定通信网络主机的抗干扰处理增益能力,完成应用系统的软件设计。系统测试实验结果表明,在强化学习原则的影响下,干扰性信息对于原始通信数据传输波段的最大占据量只能达到0.769,可以有效维护医院通信网络数据信息传输的稳定性。

With the continuous expansion of the data scale of hospital communication network,in order to solve the problem of interfering information occupying the original communication data transmission band excessively,an anti⁃interference system of hospital communication network data link based on reinforcement learning is designed.According to the layout of communication network,the transceiver and data link scheduling module based on FPGA are designed.Solve the reinforcement learning function expression,determine the anti⁃interference processing gain ability of the communication network host according to the value of the frequency hopping coefficient of the communication data,and complete the software design of the application system.The experimental results of system test show that under the influence of reinforcement learning principle,the maximum occupation of interfering information for the original communication data transmission band can only reach 0.769,which can effectively maintain the stability of data and information transmission in hospital communication network.