Location management in mobile network: A survey

Mukherjee, Anwesha; De, Debashis

doi:10.1016/j.cosrev.2015.12.001

Cited by 22 publications

(8 citation statements)

References 44 publications

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“…Generally, the best trade-off exists between the registration and paging costs, which lead to optimal usage of the radio resources. [4][5][6] The numerous LR schemes have been proposed so far: zone-based, 4,5 movement-based, [7][8][9][10][11] timerbased, 8,11,12 distance-based, [13][14][15][16] and tracking area list (TAL)-based [17][18][19] registrations. In zone-based registration, UE registers a new location area on the network whenever it moves to a new zone.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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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“…Thus, there is a need for periodic interaction of the user's whereabouts within the network, called network management. Such interaction can be either from the user end (known as Location update) or from the network end (known as Paging) (Mukherjee and De, 2016). Various ways of location management have been studied in the literature that consolidates the freedom of the user within the network to varying extents (Prateek et al., 2018; Subrata and Zomaya, 2003b).…”

Section: Introductionmentioning

confidence: 99%

Reporting cell planning-based cellular mobility management using a Binary Artificial Bat algorithm

Swayamsiddha

Prateek

Singh

et al. 2019

Heliyon

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This paper attempts to present a novel application of Binary Artificial Bat algorithm for more effective location management in cellular networks. The location management is a mobility management task, which involves tracking of the mobile stations to locate their exact positions so that an incoming call or data can be routed to the intended mobile user. The location management cost comprises of the costs incurred by two processes, namely location registration and location search. This work focuses on network cost optimization, using Binary Artificial Bat algorithm for reporting cell planning strategy, which has not been reported yet. Results of the proposed algorithm have been compared with that of Binary Particle Swarm Optimization (BPSO) and Binary Differential Evolution (BDE) for some reference and realistic networks. The proposed approach is found to perform as good as other state-of-art techniques reported in the literature in terms of accuracy in solution, but it shows perceptible improvement in convergence speed.

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“…1, in the Long-Term Evolution (LTE) system, the macrocell overlays with the cells and is connected to the core network (CN) through the mobility management entity (MME) and serving gateway (SGW). The cells in LTE are grouped into tracking areas (TAs) each with a unique TA ID (TAI), and UEs can identify which TA it is in with TAI [7]. When moving from one TA to another, the UEs report the TAI of the cell where it resides to the home subscriber server (HSS).…”

Section: Introductionmentioning

confidence: 99%