摘要
针对传统的通信网络数据在存储时一直存在存储趋势预测不准确的问题,提出基于Okumura-Hata模型改进的通信网络数据存储趋势预测算法。引进先进的Okumura-Hata模型能够有效地解决通信网络数据存储趋势划分过程中出现的数据波动,避免了出现数据混淆的现象,同时优化了IB确定以及运行状态,避免出现数据的同频干扰以及跳频干扰,从根本上解决了数据特征干扰的问题。为了验证设计的基于Okumura-Hata模型改进的通信网络数据存储趋势预测算法的有效性,设计了对比仿真试验,通过实验数据分析表明,改进方法在通信网络数据存储趋势预测方面,其预测精度较高,能够有效地解决数据特征干扰的问题。
Aiming at the problem of inaccurate prediction of storage trend in traditional communication network when data is stored, a prediction algorithm improved on the basis of 0kumura-Hata model for data storage trend of communication network is proposed. The introduction of the advanced Okumura-Hata model can effectively solve the data fluctuation occurring in the di- viding process of communication network data storage trends, avoid the data confusion phenomenon, and optimize the IB deter- mination and running state to avoid the same frequency interference and frequency hopping interference of the data, fundamental- ly solves the data characteristics of interference problems. In order to verify the effectiveness of the designed algorithm improved on the basis of Okumura-Hata model foe communication network data storage trend prediction, the simulation experiment was de- signed. The experimental data analysis shows that the improved method has high forecast accuracy in the prediction of the net- work data storage trend of communication network, and can solve the problem of data interference effectively.
出处
《现代电子技术》
北大核心
2017年第24期106-108,共3页
Modern Electronics Technique
基金
国家自然科学基金(11604284)
江苏省高校自然科学研究面上项目(15KJB520033)
关键词
通信网络
数据存储
趋势预测
预测算法
communication network
data storage
trend prediction
prediction algorithm
