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首页> 外文会议>IEEE Region 10 Conference >Cell selection schemes for femtocell-to-femtocell handover deploying mobility prediction and downlink capacity monitoring in cognitive femtocell networks
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Cell selection schemes for femtocell-to-femtocell handover deploying mobility prediction and downlink capacity monitoring in cognitive femtocell networks

机译：在认知型毫微微小区网络中部署移动性预测和下行链路容量监视的毫微微小区到毫微微小区切换的小区选择方案

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Femtocell networks have been proposed for indoor communications as the extension of cellular networks for enhancing coverage performance. Because femtocells have small coverage radius (15 to 30 meters), femtocell users (FU) walking at low speed still make frequent femtocell-to-femtocell handover. When performing a femtocell-to-femtocell handover procedure, a cell selection scheme, which is used to select the target handover femtocell, should be able to reduce unnecessary handovers. The cell selection scheme should also support FU's connection quality by not selecting an overloaded target femtocell. In this paper, we propose two new cell selection methods for femtocell-to-femtocell handover in which one is designed based on mobility prediction and another is based on femtocell capacity estimation. Simulation results show that each method provides different performance enhancement when comparing with the conventional RSS-based cell selection. It also shows that there is a trade-off between reducing unnecessary handover and avoiding overloaded femtocells which is the difficult and open challenge when designing an efficient cell selection scheme in future studies.
机译：已经提出了用于室内通信的毫微微小区网络，作为蜂窝网络的扩展，以增强覆盖性能。由于毫微微小区的覆盖半径较小（15至30米），因此低速行走的毫微微小区用户（FU）仍会频繁进行毫微微小区到毫微微小区的切换。当执行毫微微小区到毫微微小区的切换过程时，用于选择目标切换毫微微小区的小区选择方案应该能够减少不必要的切换。小区选择方案还应通过不选择过载的目标毫微微小区来支持FU的连接质量。在本文中，我们提出了两种新的用于毫微微小区到毫微微小区切换的小区选择方法，一种基于移动性预测而另一种基于毫微微小区容量估计。仿真结果表明，与传统的基于RSS的小区选择相比，每种方法都可以提供不同的性能增强。它还表明，在减少不必要的切换和避免超载毫微微小区之间要权衡取舍，这是在将来的研究中设计有效的小区选择方案时的困难和公开挑战。

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