【24h】

Beam-centric Handover Decision in Dense 5G-mmWave Networks

机译:密集5G-mmWave网络中以波束为中心的切换决策

获取原文

摘要

In the 5G network, dense deployment and millimetre wave (mmWave) are some of the key approaches to boost network capacity. Dense deployment of mmWave small cells using narrow directional beams will escalate the cell and beam related handovers for high mobility of vehicles, which may in turn limits the performance gain promised by 5G-mmWave based vehicle-to-infrastructure (V2I) communication. One of the research issues in mmWave handover is to minimise the handover needs by identifying long lasting connections. In this paper, we first develop an analytical model to derive the vehicle sojourn time within a beam coverage. When multiple connections offered by nearby all mmWave small cells are available when upon a handover event, we further derive the longest sojourn time among all potential connections which represents the theoretical upper-bound limit of the sojourn time performance. We then design a Fuzzy Logic (FL) based distributed beam-centric handover decision algorithm to maximise vehicle sojourn time. Simulation experiments are conducted to validate our analytical model and show the performance advantage of our proposed FL-based solution when compared with commonly used approach of connecting to the strongest connection.
机译:在5G网络中,密集部署和毫米波(mmWave)是提高网络容量的一些关键方法。使用窄定向波束密集部署mmWave小型蜂窝将升级与蜂窝和波束相关的切换,以实现车辆的高移动性,这又可能会限制基于5G-mmWave的车辆到基础架构(V2I)通信所承诺的性能提升。 mmWave切换的研究问题之一是通过确定持久连接来最大程度地减少切换需求。在本文中,我们首先开发了一个分析模型,以得出光束覆盖范围内的车辆停留时间。当发生切换事件时,附近所有mmWave小小区提供的多个连接可用时,我们进一步推导了所有潜在连接中最长的驻留时间,这代表了驻留时间性能的理论上限。然后,我们设计了一种基于模糊逻辑(FL)的分布式波束中心切换决策算法,以最大化车辆停留时间。进行仿真实验以验证我们的分析模型,并证明了与常用的连接最牢固连接的方法相比,我们提出的基于FL的解决方案的性能优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号