一种基于用户行为预测的群移动性管理模型

doi:10.11959/j.issn.1000-0801.2017190

电信科学 ›› 2017, Vol. 33 ›› Issue (8): 94-99.doi: 10.11959/j.issn.1000-0801.2017190

一种基于用户行为预测的群移动性管理模型

林晓勇^1,²,俞洋¹,糜正琨¹()

¹ 南京邮电大学通信与信息工程学院，江苏南京 210003
² 南京邮电大学通达学院，江苏扬州 225127

修回日期:2017-06-01 出版日期:2017-08-01 发布日期:2017-08-25
作者简介:林晓勇（1974-），男，南京邮电大学通达学院博士生，南京邮电大学通信与信息工程学院副教授，CCF会员，主要研究方向为软件定义网、用户中心网、未来移动通信。|俞洋（1994-），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为未来移动通信管理。|糜正琨（1946-），男，南京邮电大学通信与信息工程学院教授，主要研究方向为下一代宽带通信网。
基金资助:
国家自然科学基金资助项目(61471203);2016江苏省教育厅研究生教育创新工程(SJZZ16_0143);南京邮电大学通达学院教学改革重点项目(JG31216003)

A model of group mobility management based on user behavior prediction

Xiaoyong LIN^1,²,Yang YU¹,Zhengkun MI¹()

¹ College of Communication and Information Engineering,Nanjing University of Posts ＆Telecommunications,Nanjing 210003,China
² College of Tongda,Nanjing University of Posts ＆Telecommunications,Yangzhou 225127,China

Revised:2017-06-01 Online:2017-08-01 Published:2017-08-25
Supported by:
The National Nature Science Foundation of China(61471203);2016 JPED Postgraduate Education ＆ Innovation Project(SJZZ16_0143);2016 Education ＆ Innovation Key Project of College of Tongda,NUPT(JG31216003)

摘要/Abstract

摘要：

移动性管理是未来5G移动的重要组成部分，如何均衡寻呼负载和位置更新开销，从而合理利用无线资源是当前的研究重点。提出了一种新的群移动性管理（GMM）方案，可以针对具有相同运动特征的用户进行集中式管理，从而可以减少单个用户移动性管理（SMM）时存在的重复开销。仿真结果表明，GMM比SMM可以获得更佳的运行开销。

关键词: 群移动性管理, 用户行为预测, 质心定位模型, 寻呼开销

Abstract:

Mobility management (MM) is a vital part of future 5G mobile communication.How to balance the paging loads and reduce the location update costs is a key topic in wireless communication research.A novel model of group mobility management based on user behavior prediction was proposed,in which users with the similar moving characteristics could be under unified management,thereby repeated costs from the traditional model of single mobility management (SMM) could be reduced.Simulation results show that GMM can get better running cost than SMM.

Key words: group mobility management, user behavior prediction, centroid aiming model, paging cost

中图分类号:

TN929.52

林晓勇,俞洋,糜正琨. 一种基于用户行为预测的群移动性管理模型[J]. 电信科学, 2017, 33(8): 94-99.

Xiaoyong LIN,Yang YU,Zhengkun MI. A model of group mobility management based on user behavior prediction[J]. Telecommunications Science, 2017, 33(8): 94-99.

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样本组	分类比例α
行人	0.3
非机动车	0.1
机动车	0.6

一种基于用户行为预测的群移动性管理模型

A model of group mobility management based on user behavior prediction

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