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基于灰色预测模型的跨层切换优化 被引量:1

Cross-layer handover optimization using grey prediction model
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摘要 随着移动互联网的飞速发展,无线通信一直在寻求一种更好的支持无缝切换的机制。首先使用改进的指数加权移动平均算法对接收信号强度进行平滑处理,然后提出了一种在移动WIMAX环境中基于运动预测的快速跨层切换机制。使用灰色预测模型可以预测移动用户的接收信号强度。在预测模型的帮助下,3层切换可以提前2层切换触发,因此总的切换时延可以降低。 With the fast development of mobile Internet, the wireless community has been increasingly looking for a framework that can better provide seamless mobility. Firstly, this paper processed received signal strength smoothly using improved Exponentially Weighted Moving Average (EWMA) algorithm. Then, a fast cross-layer handover scheme based on movement prediction in mobile WIMAX environment was proposed. Prediction is achieved by grey predictive model with keeping track of the signal strength of mobile users. With the help of the prediction, layer-3 handover activities are able to occur prior to layer-2 handover, therefore, total handover latency can be reduced.
作者 苑学明 唐宏
出处 《计算机应用》 CSCD 北大核心 2010年第1期137-139,177,共4页 journal of Computer Applications
基金 教育部春晖计划项目(Z2007-1-63002)
关键词 跨层切换 2层触发 灰色预测模型 指数加权移动平均 cross-layer handover L2 trigger grey predictive model Exponentially Weighted Moving Average (EWMA)
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