Analyzing Zone-Based Registration in Mobile Cellular Networks

Baek, Jang Hyun

doi:10.1587/transcom.2016ebp3350

Cited by 5 publications

(25 citation statements)

References 12 publications

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“…In this case, the network first pages it over zone K because the network knows that the UE is in zone K. Because the network cannot receive an acknowledgement message for the paging message, the network pages it again over the remainder of the zones, except for zone K [11][12][13][14][15]. In this case, the network first pages it over zone K because the network knows that the UE is in zone K. Because the network cannot receive an acknowledgement message for the paging message, the network pages it again over the remainder of the zones, except for zone K [11][12][13][14][15].…”

Section: With Three Zonesmentioning

confidence: 99%

“…It is also assumed that the probability that a UE moves back to the last zone is θ [11,[13][14][15]. It is also assumed that the probability that a UE moves back to the last zone is θ [11,[13][14][15].…”

Section: Location Registration Costmentioning

confidence: 99%

“…Even though ZBR is implemented in most networks for a UE to keep only one zone (1ZR), it is possible for a UE to keep multiple zones [10][11][12][13][14][15]. In ZBR, whenever a UE enters a new zone, it registers its zone to a network database (DB).…”

Section: Introductionmentioning

confidence: 99%

“…However, even those are only for 2ZR. Baek [15] developed a simple mathematical model that is based on the Markov chain model to analyze the precise performance of 2ZR and 2ZR with implicit registration. Jang and others [13] considered the implicit registration effects of outgoing calls to improve the performance of 2ZR, but this gives only a crude approximation.…”

Section: Introductionmentioning

confidence: 99%

“…Then, several studies on mathematical models for 2ZR have been reported, and are compared with 1ZR from the perspective of location registration and paging costs [11][12][13][14][15]. However, to the best of our knowledge, there are no papers on the mathematical model of 3ZR in terms of the analysis of its performance.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and cost analysis of zone-based registration in mobile cellular networks

Jung¹,

Baek

2018

ETRI Journal

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This study considers zone‐based registration (ZBR), which is adopted by most mobile cellular networks. In ZBR, a user equipment (UE) registers its location area (or zone) in a network database (DB) whenever it enters a new zone. Even though ZBR is implemented in most networks for a UE to keep only one zone (1ZR), it is also possible for a UE to keep multiple zones. Therefore, a ZBR with two zones (2ZR) is investigated, and some mathematical models for 2ZR are presented. With respect to ZBR with three zones (3ZR), several studies have been reported, but these employed computer simulations owing to the complexity of the cases, and there have been no reports on a mathematical 3ZR model to analyze its performance. In this study, we propose a new mathematical model for 3ZR for the first time, and analyze the performance of 3ZR using this model. The numerical results for various scenarios show that, as the UE frequently enters zones, the proposed 3ZR model outperforms 1ZR and 2ZR. Our results help determine the optimal number of zones that a UE keeps, and minimize the signaling cost for radio channels in mobile cellular networks.

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Section: With Three Zonesmentioning

confidence: 99%

Section: Location Registration Costmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling and cost analysis of zone-based registration in mobile cellular networks

Jung¹,

Baek

2018

ETRI Journal

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Reducing paging cost of tracking area list-based mobility management in LTE network

Jung

Baek

2018

J Supercomput

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Optimal management of distance-based location registration using embedded Markov chain

Seo

Baek

Eom

et al. 2020

International Journal of Distributed Sensor Networks

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In this study, we deal with a Distance-Based Registration with Implicit Registration, which is an enhanced scheme of the Distance-Based Registration in mobile-cellular networks. In comparisons with other Location Registration schemes, various studies on the Distance-Based Registration scheme and performance have been performed. However, a real network hierarchy has not been properly reflected in the performance evaluation of the Distance-Based Registration. To accurately evaluate the registration and paging costs of the Distance-Based Registration, a real network hierarchy should reflect that a mobile network is made up of many Visitor Location Register areas. Furthermore, we use an embedded Markov-Chain model in the Visitor Location Register hierarchy, which can reflect not only the Implicit Registration effect of the outgoing calls of user equipment but also cell staying time of the user equipment that may follow a general distribution. Without consideration of the Visitor Location Register, the paging cost decreases due to a small paging area, but the location registration cost rises because of frequent inter Visitor Location Register. The numerical results according to the various conditions show an accurate evaluation of the Distance-Based Registration performance in a real network hierarchy and the general cell staying time. Generally, the total signaling cost will increase when we consider the Visitor Location Register. However, for more appropriate evaluation of the Distance-Based Registration performance, it is necessary to consider the Visitor Location Register hierarchy.

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Analyzing Zone-Based Registration in Mobile Cellular Networks

Cited by 5 publications

References 12 publications

Modeling and cost analysis of zone-based registration in mobile cellular networks

Modeling and cost analysis of zone-based registration in mobile cellular networks

Reducing paging cost of tracking area list-based mobility management in LTE network

Optimal management of distance-based location registration using embedded Markov chain

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