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超密集分簇网络中基于预测门限滞后余量可调的切换算法

赵夙 张涛 朱晓荣

赵夙, 张涛, 朱晓荣. 超密集分簇网络中基于预测门限滞后余量可调的切换算法[J]. 电子与信息学报, 2016, 38(3): 649-654. doi: 10.11999/JEIT150681
引用本文: 赵夙, 张涛, 朱晓荣. 超密集分簇网络中基于预测门限滞后余量可调的切换算法[J]. 电子与信息学报, 2016, 38(3): 649-654. doi: 10.11999/JEIT150681
ZHAO Su, ZHANG Tao, ZHU Xiaorong. A Handover Algorithm Based on Prediction of Adjustable Threshold Hysteresis Margin in Ultra Dense Network[J]. Journal of Electronics & Information Technology, 2016, 38(3): 649-654. doi: 10.11999/JEIT150681
Citation: ZHAO Su, ZHANG Tao, ZHU Xiaorong. A Handover Algorithm Based on Prediction of Adjustable Threshold Hysteresis Margin in Ultra Dense Network[J]. Journal of Electronics & Information Technology, 2016, 38(3): 649-654. doi: 10.11999/JEIT150681

超密集分簇网络中基于预测门限滞后余量可调的切换算法

doi: 10.11999/JEIT150681
基金项目: 

国家863计划(2015AA01A705),国家自然科学基金(61372125),东南大学移动通信国家重点实验室开放研究基金(2015D10)

A Handover Algorithm Based on Prediction of Adjustable Threshold Hysteresis Margin in Ultra Dense Network

Funds: 

The National 863 Program of China (2015AA01A705), The National Natural Science Foundation of China (61372125), The open research fund of National Mobile Communications Research Laboratory, Southeast University (2015D10)

  • 摘要: 在第五代移动通信(5G)系统中,大规模MIMO天线和超密集部署网络是实现高吞吐量的两种方式。针对超密集网络的切换管理的问题,该文基于网络分簇的思想提出了根据终端设备运动情况动态调节滞后余量的切换管理算法。在该算法中,基于小基站分簇化管理的前提,用户设备在小区间切换分为预切换和正式切换两个阶段,预切换阶段完成最佳目标小区选择、小区资源预留和预鉴权等操作,正式切换阶段根据预切换阶段监测的设备速度动态调节切换门限的滞后余量。仿真结果表明了该算法可以有效降低设备的切换时延和切换失败率。
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    .01777.
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出版历程
  • 收稿日期:  2015-06-08
  • 修回日期:  2015-11-25
  • 刊出日期:  2016-03-19

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