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

Abstract

In this article, we examine the Location Management costs in mobile communication

Savings in Location Management Costs Leveraging User Statistics

“…Example Sets of 3 Location Areas: The fact that hexagonal cells deliver lower location update costs than square cells (in agreement with [2][3][4]) can be reasoned making use of the advanced algorithm for the calculation of the β parameters: the percentage reduction in the hexagonal cell structures with respect to the square cells structures is always higher for the number of xs than for the number of •s, as shown in Table 2. Therefore, the hexagonal cells structures will present relatively lower values of β 21 and β 22 , which account for the highest terms in the location update costs, and consequently the costs will be lower.…”

“…Considering a fluid mobility model, the number of mobile terminals exiting an area in a time unit is proportional to the product of terminals density, their average velocity and the length of the area perimeter [35], and all these parameters can be integrated within the concept of "rate of location updates" [2][3][4]. Taking average values for the mobility parameters from [36], the behavior of the rate of location updates with the number of cells per location area will be analyzed next.…”

“…Mobility Management is responsible for Handoff and Location Management. The former enables the continuation of a call while the user is on the move and changes cell, while the later enables the roaming of the user in the coverage area, with the main tasks involved being location update and paging [1][2][3][4][5][6]. The location update procedure consists of informing the network about every new location the mobile terminal enters, while paging is employed by the network to deliver incoming calls to the user.…”

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

“…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:…”

“…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].…”