Satellite Resource Reservation Algorithm Based on ARIMA Model with Balanced Performance

Autor:	Feng Tian, Dong Chen, Ying Tao, Qi Zhang, Yunxiao Zu, Cheng Ju, Mai Yang, Qinghua Tian, Jinxi Qian
Rok vydání:	2021
Předmět:	Scheme (programming language) Resource (project management) Autoregressive model Moving average Computer science Reservation Resource allocation Autoregressive integrated moving average Blocking (statistics) computer Algorithm computer.programming_language
Zdroj:	2021 19th International Conference on Optical Communications and Networks (ICOCN).
Popis:	In this paper, a resource reservation algorithm based on ARIMA model with balanced performance (RABP) is proposed. The algorithm uses Auto Regressive Integrated Moving Average (ARIMA) model to predict the change trend of future on-board traffic to reserve reasonable spectrum resources in advance and evaluate the impact of resource allocation scheme on system performance. The simulation results show that the performance of resource utilization and communication blocking rate are improved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d466562644de6c06273e582213afeaf1 https://doi.org/10.1109/icocn53177.2021.9563756 Zobrazit plný text záznamu