Dynamic mobile user location update for wireless PCS networks

Akyildiz, Ian F.; Ho, Johnny C.

doi:10.1007/bf01202541

Cited by 117 publications

(54 citation statements)

References 3 publications

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“…We further study how the optimal location inspection period is affected by the mean, variance, and memory level of a mobile's velocity. Previous work on distance-based mobility management schemes [2][5] [14] [21] do not incorporate this assumption.…”

Section: Introductionmentioning

confidence: 99%

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Predictive distance-based mobility management for multidimensional pcs networks

Liang

Haas

2003

IEEE/ACM Trans. Networking

269

118

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Abstract-This paper presents a mobile tracking scheme that exploits the predictability of user mobility patterns in wireless PCS networks. In this scheme, a mobile's future location is predicted by the network, based on the information gathered from the mobile's recent report of location and velocity. When a call is made, the network pages the destination mobile around the predicted location. A mobile makes the same location prediction as the network does; it inspects its own location periodically and reports the new location when the distance between the predicted and the actual locations exceeds a threshold. To more realistically represent the various degrees of velocity correlation in time, a Gauss-Markov mobility model is used. For practical systems where the mobility pattern varies over time, we propose a dynamic Gauss-Markov parameter estimator that provides the mobility parameters to the prediction algorithm.Based on the Gauss-Markov model, we describe an analytical framework to evaluate the cost of mobility management for the proposed scheme. We also present an approximation method that reduces the computational complexity of the cost evaluation for multi-dimensional systems. We then compare the cost of predictive mobility management against that of the regular, nonpredictive distance-based scheme, for both the case with ideal Gauss-Markov mobility pattern and the case with time-varying mobility pattern.The performance advantage of the proposed scheme is demonstrated under various mobility patterns, call patterns, location inspection cost, location updating cost, mobile paging cost, and frequencies of mobile location inspections. As a point of reference, prediction can reduce the mobility management cost by more than 50% for all systems, where a the mobile users have moderate mean velocity and where performing a single location update is as least as expensive as paging a mobile in one cell.Index Terms-predictive mobility management, GaussMarkov model, distance-based location management, mobility pattern, random walk, fluid flow, dynamic parameter estimation, wireless networking

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Section: Introductionmentioning

confidence: 99%

“…Dynamic mobility management schemes [2], [3], [5], [8], [14] [19], [21] discard the notion of LA borders altogether. A mobile in these schemes updates its location 1 based on either elapsed time, number of crossed cell borders, or traveled distance.…”

Section: Introductionmentioning

confidence: 99%

Predictive distance-based mobility management for multidimensional pcs networks

Liang

Haas

2003

IEEE/ACM Trans. Networking

269

118

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“…Our main focus in this paper is to compute the location update cost under generally distributed interservice time. In the current literature, three location update schemes were proposed and studied ( [3], [6]): distance-based location update, movement-based location update, and time-based location update. In the distance-based locate update scheme, location update will be performed when a mobile terminal moves d cells away from the cell in which the previous location update was performed, where d is a distance threshold.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, there is a trade off between the location update traffic and the paging traffic. The cost trade off analysis has been intensively studied in the current literature ( [1], [2], [3], [4], [6], [19], [20], [23]). …”

Section: Introductionmentioning

confidence: 99%

Movement-based mobility management and trade off analysis for wireless mobile networks

Fang

2003

IEEE Trans. Comput.

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Abstract-Mobility management plays a central role in providing ubiquitous communications services in future wireless mobile networks. In mobility management, there are two key operations, location update and paging, commonly used in tracking mobile users on the move. Location update is to inform the network about a mobile user's current location, while paging is used for the network to locate a mobile user. Both operations will incur signaling traffic in the resource limited wireless networks. The more frequent the location updates, the less paging in locating a mobile user; thus, there is a trade off in terms of signaling cost. Most trade off analysis in the literature is carried out under the assumption that some time variables are exponentially distributed. However, such assumptions will not be valid, particularly for the wireless Internet. In this paper, we present some general analytical results without these assumptions, which are essential for the general trade off analysis. Specifically, we analytically derive the average number of location updates during the interservice time for a movement-based location update scheme under fairly realistic assumptions, which are crucial for all trade off analysis. Our general analytical results make thorough numerical analysis for finding the optimal mobility management under various network operation scenarios possible.

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“…One current trend to minimize the LUP and paging costs uses adaptive and dynamic tracking and paging algorithms [2,3,4,5,6,7]. The main idea of these algorithms is to collect and compute more information about the user in order to find out an individual mobility and behavior pattern of the user.…”

Section: Introductionmentioning

confidence: 99%

Minimizing the average cost of paging on the air interface-an approach considering privacy

Federrath

Jerichow²,

Kesdoğan³

et al.

1997 IEEE 47th Vehicular Technology Conference. Technology in Motion

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-Location Management of mobile users in a cellular network is considered from a performance and privacy point of view. Location management covers tracking functionality and paging (searching) functionality. After a risk analysis of location management w.r.t. privacy, we focus on the paging strategy. A sequential search strategy is proposed which reduces the signaling on the air interface and also considers the user's privacy.

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Dynamic mobile user location update for wireless PCS networks

Cited by 117 publications

References 3 publications

Predictive distance-based mobility management for multidimensional pcs networks

Predictive distance-based mobility management for multidimensional pcs networks

Movement-based mobility management and trade off analysis for wireless mobile networks

Minimizing the average cost of paging on the air interface-an approach considering privacy

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