非同步多点通信网络优化模型仿真分析

发布时间：2018-02-12 20:13

本文关键词： 非同步多点通信网络通信模型约束　出处：《计算机仿真》2014年12期 　论文类型：期刊论文

【摘要】：研究非同步多点通信网络模型,对保证通信安全具有重要的作用。由于非同步多点通信网络与传统网络不同,是由多个子网络构成,不同网络之间的通信时钟校验规则也不同,无法掌握所有网络通信的时钟校验规范,也难以准确获得数据特征,导致传统的网络模型在进行非同步多点通信网络通信时,无法建立统一的时钟校验标准,存在较为明显的不同网络延迟现象。提出采用多属性时间约束动态模型的非同步多点通信网络优化模型方法。针对非同步多点通信网络,建立多属性约束时间模型,获取非同步多点通信网络的多属性时间约束条件,获取非同步多点通信网络通信过程的通信模型,实现非同步多点通信网络通信过程模型优化。实验结果表明,利用改进算法得到非同步多点通信网络优化模型,能够有效提高通信效率,降低误码率,同时降低通信数据传输的信噪比。
[Abstract]:The research on the model of asynchronous multipoint communication network plays an important role in ensuring the communication security. Because the asynchronous multipoint communication network is different from the traditional network, it is composed of multiple subnetworks, and the communication clock verification rules are different among different networks. It is difficult to master the clock calibration specification of all network communication and to obtain the data characteristics accurately, which results in the traditional network model can not establish a unified clock calibration standard in the process of asynchronous multipoint communication network communication. There are obvious different network delay phenomena. This paper presents an optimization model of asynchronous multipoint communication network using multi-attribute time-constrained dynamic model. For non-synchronous multi-point communication network, a multi-attribute constrained time model is established. The multiattribute time constraint condition of asynchronous multipoint communication network is obtained, the communication model of asynchronous multipoint communication network is obtained, and the communication process model of asynchronous multipoint communication network is optimized. The experimental results show that, The improved algorithm is used to obtain the optimal model of asynchronous multipoint communication network, which can effectively improve the communication efficiency, reduce the bit error rate and reduce the signal-to-noise ratio (SNR) of the communication data transmission.
【作者单位】：青岛理工大学现代教育技术中心;
【分类号】：TN915.08

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