A speed based adaptive algorithm for reducing paging cost in cellular networks

Goel, Ashish; Gupta, Navankur; Kumar, Prakhar

doi:10.1109/iccsit.2009.5234786

Cited by 10 publications

(14 citation statements)

References 6 publications

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“…Considering now the same VLR administered area but with lower number of cells per location area (9,7,6), so that the number of location areas increases to 6, the results obtained are very similar: β 1 =41/(41+24)=0.63 and β 2 =24/(41+24)=0.37. Now taking a VLR area composed of 7·7 hexagonal cells, with 5 location areas of 11, 10 and 9 cells, the results obtained are:…”

Section: Simple Algorithmsupporting

confidence: 67%

“…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. The signaling messages involved in these two procedures consume a significant proportion of the available radio resources [7][8][9][10]. In order to minimize this signaling burden, the location area concept (a set of cells) is used, whereby the mobile terminal will inform the network about a change in its position only when the location area's border has been crossed.…”

Section: Introductionmentioning

confidence: 99%

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Resource Optimization in Mobile Communication Networks With User Profile-Based Algorithms

Martin¹

2012

IJCNC

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Section: Simple Algorithmsupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Resource Optimization in Mobile Communication Networks With User Profile-Based Algorithms

Martin¹

2012

IJCNC

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“…In these schemes, paging area is calculated according to MT's velocity. An algorithm is proposed in [22], which uses speed distribution and random walk model to develop look-up tables for each MT. A subarea size is concluded from these tables to be paged.…”

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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“…Here is the total location management cost [10]. is the number of LU messages generated is the number of cells paged.…”

Section: = × +mentioning

confidence: 99%

Timer based Location Management in Cellular Network using Cache Memory

Ahirwal¹,

Sahelay²

2012

IJCA

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Location management is essential task in current cellular system. Mobility prediction is widely used to assist handoff management, resource reservation and service preconfiguration. Location management methods are to find out mobile unit current location. Location update and paging have to maintain efficiently to minimize location management cost in cellular network. This paper introduce new timer based algorithm using cache memory for reducing paging cost. This algorithm is based on user's daily predefined moving geographical activities pattern, according to time. Paging decision for user is based on this predicted location for any instance of time interval. This predicated value again sort by higher probability of user finding in any cell for that time duration. This prediction information is saved by mobile unit in its personal cache memory for every fixed time interval. If more prediction value searched for paging, so it increases average paging cost. Therefore here is threshold value used for maintain page hit ratio. But if threshold value is to less hit ratio comes down rapidly for smaller threshold values. Thus threshold value helps to maintain hit page, hit to page miss ratio. The results confirm the effectiveness of this method compare to existing method for real time in mobile services and proposed method is 6% more efficient in average hit ratio.

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A speed based adaptive algorithm for reducing paging cost in cellular networks

Cited by 10 publications

References 6 publications

Resource Optimization in Mobile Communication Networks With User Profile-Based Algorithms

Resource Optimization in Mobile Communication Networks With User Profile-Based Algorithms

Historical based location management strategies for PCS networks

Timer based Location Management in Cellular Network using Cache Memory

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