Paper Info
Title
Mining call and mobility data to improve paging efficiency in cellular networks
Abstract
Locating mobile users and devices efficiently is a critical operation in cellular networks. This is done using a combination of location update(by the mobile) and paging (by the network). The paging scheme determines how and where to search for a mobile user given the latestlocation update information from that user. In this paper, we considerhow to increase the efficiency of the paging scheme. Much previous work has relied on simulation or modeling to design and evaluate the performance of proposed paging schemes. We take a different, data-driven approach in how we design and evaluate our solution. Specifically, we mine more than 300 million call records from a large cellular operator to characterize user mobility and create mobility profiles. We then develop a family ofprofile-based paging techniques, considering both static schemes and dynamic schemes which adapt as user profiles continuously get updated. We find that our paging techniques can dramatically reducesignaling load (up to 80%) with minimal increase in paging delay (usually less than 10%).
Year
DOI
Venue
2007
10.1145/1287853.1287868
MobiCom
Keywords
Field
DocType
proposed paging scheme,paging efficiency,mobile user,user profile,mining call,cellular network,paging technique,dynamic scheme,family ofprofile-based paging technique,user mobility,paging scheme,mobility data,paging delay,design,mobility,cdma,data mining,paging,performance
Personal Communications Service,Computer science,Computer network,Mobility model,Page replacement algorithm,Operator (computer programming),Cellular network,Paging,Code division multiple access,Distributed computing
Conference
Citations 
PageRank 
References 
63
3.57
30
Authors
2
Name
Order
Citations
PageRank
Hui Zang1105277.25
Jean-Chrysostome Bolot21522341.89