Cross-Layer Handover Optimization Using Linear Regression Model

Yong-Hoon Choi, Jaesung Park, Young-uk Chung, Hyukjoon Lee
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引用次数: 16

Abstract

With the fast proliferation of mobile Internet, the wireless community has been increasingly looking for a framework that can provide seamless mobility. In this paper, we propose a fast cross-layer handover scheme based on movement prediction in mobile WiMAX environment. Prediction is achieved by linear regression 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, and therefore, total handover latency can be reduced. The experiments conducted with system parameters and propagation model defined by WiMAX Forum demonstrate that the proposed method predicts the future signal level accurately and reduces the total handover latency.
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基于线性回归模型的跨层切换优化
随着移动互联网的快速发展,无线社区越来越多地寻求一种能够提供无缝移动的框架。在移动WiMAX环境下,提出了一种基于运动预测的快速跨层切换方案。在跟踪移动用户信号强度的基础上,采用线性回归模型进行预测。在预测的帮助下,第3层的切换活动能够先于第2层的切换发生,因此,总切换延迟可以减少。利用WiMAX论坛定义的系统参数和传播模型进行的实验表明,该方法能够准确地预测未来的信号电平,并降低了总切换延迟。
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