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

• research and development • Previous Articles     Next Articles

A model of group mobility management based on user behavior prediction

Xiaoyong LIN1,2,Yang YU1,Zhengkun MI1()   

  1. 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)

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

CLC Number: 

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