Satellite Resource Reservation Algorithm Based on ARIMA Model with Balanced Performance

Cheng Ju, Qi Zhang, Ying Tao, Yunxiao Zu, Dong Chen, Qinghua Tian, Feng Tian, Jinxi Qian, Mai Yang
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Abstract

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.
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基于性能均衡的ARIMA模型的卫星资源预留算法
提出了一种基于ARIMA均衡性能模型(RABP)的资源预留算法。该算法采用自回归综合移动平均(ARIMA)模型预测未来车载流量的变化趋势,提前预留合理的频谱资源,并评估资源分配方案对系统性能的影响。仿真结果表明,该方法提高了系统的资源利用率和通信阻塞率。
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