A Graphical Study of the Timer Based Method for Location Management with the Blocking Probability

Martin, Eladio

doi:10.1109/wicom.2011.6040419

Cited by 9 publications

(14 citation statements)

References 10 publications

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“…Location update provides the network with information about the location of the user (in terms of Location Areas), while paging is responsible for delivering incoming calls to the user. In terms of signaling costs, these two procedures present opposite behaviors, and the optimization of the trade-off in the overall Location Management costs has become a key research topic [1][2][3][4][5]. Several algorithms have been proposed in the literature to optimize these signaling costs, with the three main ones being: i) movement-based [6], ii) distance-based [7] and iii) timer-based [8], according to the main parameter used to control the location update procedure: a number of movements (usually cell-crossings), a distance from the origin of the movement, or a certain time threshold, respectively.…”

Section: Introductionmentioning

confidence: 99%

Variability of Location Management Costs with Different Mobilities and Timer Periods to Update Locations

Martin¹,

Bajcsy²

2011

IJCNC

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Section: Introductionmentioning

confidence: 99%

Variability of Location Management Costs with Different Mobilities and Timer Periods to Update Locations

Martin¹,

Bajcsy²

2011

IJCNC

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“…In this scenario, a timer based algorithm is introduced, which uses the mobility of each MT and the time of movement to form personalized RAs [17]. In [18], the variability of the blocking probability to a RA is analyzed, with the service rate, timeout period, and expected and actual numbers of MTs in the RAs. Another strategy is introduced in [19].…”

Section: Related Workmentioning

confidence: 99%

Historical based location management strategies for PCS networks

2016

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Due to the current popularity of wireless communication, personal communication service networks have attracted a lot of attention. As mobile terminals (MTs) in such networks have the ability to communicate on the move, location management (LM) is a critical issue that should be handled carefully. Managing MTs locations is to simultaneously perform two main operations, which are; location update and paging. A good LM strategy maintains both operations with the minimum time and signaling penalties. Although several LM strategies have been introduced, they still suffer from several drawbacks. This paper introduces three novel LM strategies, which are; historical based location management (HBLM), direction based location management (DBLM) and trajectory based location management (TBLM). TBLM strategy is based on geographical position of MTs, while HBLM and DBLM are based on geographical position of MTs as well as time aspects. Visited locations are saved in MT's internal cache in the form of cell identifier as well as the corresponding time interval. Location tracking is fully supervised by the MT's current visitor location register (VLR). On the other hand, the collected location information in MT's cache is sent to VLR when MT passed through a previously defined number of cells or when a previously defined number of time periods has elapsed. In HBLM, paging is done according to the historical movements saved in VLR, while DBLM takes also MT's movement direction into consideration while in TBLM, paging is done according to the historical trajectories that MTs are used to follow. Experimental results have shown that the proposed LM strategies significantly improve MTs' tracking process as they introduce the minimum signaling penalty (for paging and registration) with an acceptable paging time delay compared with recent LM strategies.

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“…In other words, SI will provide us with an indication of the granularity in the location information that the system has about the user, which will be very helpful for the network operators to optimize the Location Management procedures [2][3][4][5][6]. We have inferred the mathematical definition of the SI from the results obtained analyzing multiple cases:…”

Section: Searchability Indexmentioning

confidence: 99%

“…Location Management is a topic of increasing importance due to the rise in the number of users in mobile communications networks [1][2][3][4][5][6]. Most of the recent research in this field has focused on the evaluation of the signalling costs involved in both location update and paging [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Analysis Of the Paging Costs In Location Management for Mobile Communications Networks Leveraging The Diffusion Constant

Martin¹,

Bajcsy²

2011

IJWMN

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The recent growth of users in mobile communications networks has shown the need to efficiently manage the signalling burden related to Mobility Management. Within this field, the optimisation of Location Management costs has become a key research topic. In this sense, the development of accurate mobility models to describe the user's behaviour is still a pending task. In this article, having characterized the diffusion constant for distinct types of movements, the evaluation of the paging costs for different motion processes through the diffusion constant is reviewed, obtaining useful guidelines for their ranking in terms of signalling costs. As a consequence of this analysis, a novel parameter is introduced to accountfor how searchable a mobile user is, and whose inverse approximates the paging costs of a wide variety of motion processes.

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A Graphical Study of the Timer Based Method for Location Management with the Blocking Probability

Cited by 9 publications

References 10 publications

Variability of Location Management Costs with Different Mobilities and Timer Periods to Update Locations

Variability of Location Management Costs with Different Mobilities and Timer Periods to Update Locations

Historical based location management strategies for PCS networks

Analysis Of the Paging Costs In Location Management for Mobile Communications Networks Leveraging The Diffusion Constant

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