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Handover Optimization with User Mobility Prediction for Femtocell-based Wireless Networks

机译:基于飞蜂窝的无线网络的用户移动性预测切换优化

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Prediction of user mobility can assist resource and mobility management of wireless and mobile networks by optimizing handover execution, resource utilization, and so on. There have been extensive studies on mobility prediction for handovers between macrocells but little work for femtocell-based networks yet due to their complicated characteristics. This paper proposes handover optimization methods by developing mobility prediction techniques for femtocell-based wireless networks. To decide the handover target and execution time, special conformance index and prediction assurance are calculated. The proposed handover optimization methods can cope with various handover conditions with pingpong handovers minimized and throughput maximized. Simulation results show the effectiveness of the proposed methods.
机译:用户移动性的预测可以通过优化切换执行,资源利用等来辅助无线和移动网络的资源和移动性管理。对于宏小区之间的切换的移动性预测已经进行了广泛的研究,但是由于基于毫微微小区的网络的复杂特性,其工作量很少。本文通过开发基于毫微微小区的无线网络的移动性预测技术,提出了切换优化方法。为了确定切换目标和执行时间,需要计算特殊一致性指标和预测保证。所提出的切换优化方法可以在最小化乒乓切换和最大化吞吐量的情况下应对各种切换条件。仿真结果表明了所提方法的有效性。

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