科研之友
微信
新浪微博
Facebook
分享链接
摘要
With service types and requirements of broadband satellite internet continuously increasing, improving QoS (Quality of Service) of satellite internet has attracted extensive attention. To reduce the impact of self-similarity caused by various of service tra?c sources converging on satellite communication system, this paper establishes a novel model from the perspective of self-similar tra?c prediction. A method combinating wavelet transform and ARIMA (Autoregressive Integrated Moving Average) model to predict self-similar tra?c of satellite internet is proposed. The optimal prediction model is presented. The number selection of prediction samples and the impact of prediction steps on the accuracy of the prediction system are discussed, and the parameters are addressed. Simulation results show ARIMA model with a combination of wavelet transform can achieve a better prediction than that of the traditional autoregressive model, not utilizing wavelet technology.
- 出版日期2017
