复杂网络通信信息传输性能优化设计仿真

摘要

The traditional methods ignore the estimation of available frequency bands in transmission information,which results in the unsatisfactory optimization effect.A method for optimizing the information transmission performance in complex communication based on information assistant decision model is proposed.On the basis of big data technology,the communication information is mined and analyzed comprehensively.Then,communication information in transmission is sampled and located.The health degree of sampled information transmission system is evaluated.Moreover,the visualization mode is introduced to establish intelligent decision assistant model.Finally,the available frequency band in ionospheric transmission is estimated to obtain working frequency matching conditions.Thus,the optimization of information transmission performance in complex network communication is completed.Simulation results show that the communication performance of proposed method is better,which improves the quality of complex network communication effectively.%对复杂网络通信信息的传输过程的分析,能够有效提高复杂网络通信的质量.对信息传输性能的优化,需要构建通信信息辅助决策模型,对传输信息可用频段进行估测,完成通信信息传输性能的设计.传统方法通过获取上界矩阵和下界矩阵,并计算其矩阵之间的关联度,忽略了对传输信息可用频段的估测,导致优化效果不理想.提出基于信息辅助决策模型的复杂通信信息传输性能优化方法.依据大数据技术,对通信信息全面分析挖掘,对传输中的通信信息定位采样,评估采样信息传输体系的健康度,引入可视化方式,构建智能化运行辅助决策模型,对电离层传输可用频段进行估测,获取符合条件的工作频率,完成复杂网络通信信息传输性能的优化.实验结果表明,所提方法通信信息的传输性能更优,有效提高了复杂网络通信的质量.