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首页> 外文会议>IEEE International Conference on Communications Workshops >Cross-Tier Handover Decision Optimization with Stochastic Based Analytical Results for 5G Heterogeneous Ultra-Dense Networks
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Cross-Tier Handover Decision Optimization with Stochastic Based Analytical Results for 5G Heterogeneous Ultra-Dense Networks

机译：基于5G异构超密集网络的随机分析结果的跨层切换决策优化

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摘要

Denser deployment of 5G heterogeneous ultra-dense network (H-UDN) leads to more frequent handovers, which causes higher cross-tier handover failure rate. Thus, the optimization of traditional handover strategy is needed urgently. In this paper, applying the stochastic based analytical results of cross-tier handover, we propose a novel fuzzy logic multi-attribute handover decision algorithm (FMHD). The proposed algorithm implements fuzzy analytical hierarchy process (FAHP) along with grey correlation analysis method, meanwhile combine the long-term analytical results with instant parameters involved in handover process. As a result, FMHD brings improvements to the cross-tier handover performance, which can be observed in reducing handover failure probability and ping-pong probability.
机译：密集部署5G异构超密集网络（H-UDN）会导致更频繁的切换，从而导致更高的跨层切换失败率。因此，迫切需要对传统切换策略进行优化。本文利用基于随机的跨层切换分析结果，提出了一种新颖的模糊逻辑多属性切换决策算法（FMHD）。该算法实现了模糊层次分析法（FAHP）和灰色关联分析法，同时将长期分析结果与切换过程中涉及的即时参数相结合。结果，FMHD改善了跨层切换性能，可以从降低切换失败概率和乒乓概率的角度观察到这一点。

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