Application of renewal theory to call handover counting and dynamic location management in cellular mobile networks
Mobility management in wireless cellular networks is one of the main issues for resource optimization. It is aimed to keep track of Mobile Stations (MSs) in the different Location Areas (LAs) or Registration Areas (RAs) for an efficient call delivery. The optimization issues of these location strate...
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Published in | European journal of operational research Vol. 204; no. 1; pp. 1 - 13 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.07.2010
Elsevier Elsevier Sequoia S.A |
Series | European Journal of Operational Research |
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Abstract | Mobility management in wireless cellular networks is one of the main issues for resource optimization. It is aimed to keep track of Mobile Stations (MSs) in the different Location Areas (LAs) or Registration Areas (RAs) for an efficient call delivery. The optimization issues of these location strategies look for a minimization of the generated signaling traffic. We describe the three basic strategies for location management: distance-based, time-based and movement-based, and their corresponding optimization cost. We emphasize that counting the number of wireless cell crossings or handovers occurring in the call duration time or during inter-call times is a fundamental issue for mobility management analysis. We present the main approaches in the literature to deal with these problems with a special emphasis to renewal theory to model the probabilistic structure of these optimization problems. |
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AbstractList | Mobility management in wireless cellular networks is one of the main issues for resource optimization. It is aimed to keep track of Mobile Stations (MSs) in the different Location Areas (LAs) or Registration Areas (RAs) for an efficient call delivery. The optimization issues of these location strategies look for a minimization of the generated signaling traffic. We describe the three basic strategies for location management: distance-based, time-based and movement-based, and their corresponding optimization cost. We emphasize that counting the number of wireless cell crossings or handovers occurring in the call duration time or during inter-call times is a fundamental issue for mobility management analysis. We present the main approaches in the literature to deal with these problems with a special emphasis to renewal theory to model the probabilistic structure of these optimization problems. Mobility management in wireless cellular networks is one of the main issues for resource optimization. It is aimed to keep track of Mobile Stations (MSs) in the different Location Areas (LAs) or Registration Areas (RAs) for an efficient call delivery. The optimization issues of these location strategies look for a minimization of the generated signaling traffic. We describe the three basic strategies for location management: distance-based, time-based and movement-based, and their corresponding optimization cost. We emphasize that counting the number of wireless cell crossings or handovers occurring in the call duration time or during inter-call times is a fundamental issue for mobility management analysis. We present the main approaches in the literature to deal with these problems with a special emphasis to renewal theory to model the probabilistic structure of these optimization problems. [PUBLICATION ABSTRACT] |
Author | Rodríguez-Dagnino, Ramón M. Takagi, Hideaki |
Author_xml | – sequence: 1 givenname: Ramón M. surname: Rodríguez-Dagnino fullname: Rodríguez-Dagnino, Ramón M. email: rmrodrig@itesm.mx organization: Tecnológico de Monterrey, Centro de Electrónica y Telecomunicaciones, Sucursal de correos “J” C.P. 64849, Monterrey, N.L., Mexico – sequence: 2 givenname: Hideaki surname: Takagi fullname: Takagi, Hideaki email: takagi@sk.tsukuba.ac.jp organization: Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba-shi 305-8573, Japan |
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Keywords | Applied probability Wireless networks Handovers Location management Probabilistic approach Mobility Minimization Cell network Context aware Distributed system Network interfaces Modeling Optimization Renewal theory Time management Wireless network Localization Counting Mobile computing Mathematical programming |
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SubjectTerms | Applied probability Applied probability Wireless networks Location management Handovers Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Exact sciences and technology Handovers Location management Mobile communications networks Optimization Optimization techniques Probability Software Studies Traffic flow Wireless networks |
Title | Application of renewal theory to call handover counting and dynamic location management in cellular mobile networks |
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