Mobility management for personal communications systems

Brown, Timothy X.; Mohan, Seshadri

doi:10.1109/25.580765

Cited by 99 publications

(54 citation statements)

References 11 publications

(13 reference statements)

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“…Location management, i.e., how to track the MUs that move from place to place is a key issue in PCS networks [1], [2], [3], [5], [6], [10]. Due to rapid growth registered by mobile users in recent past, it has become the need of hour to reduce the system overheads involved with the location management [4], [6], [13], [14], [17].…”

Section: Introductionmentioning

confidence: 99%

A Modified Multi-HLR Architecture for Implicit De-registration Strategies

Singh¹,

Kumar²

2012

IJCA

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This study proposes a modification in the de-registration policy of Multi-HLR architecture. This architecture has made an attempt to overcome the drawbacks of Single centralized HLR architecture by introducing multiple HLRs in PCS networks in performing location managements of mobile units using explicit de-registration policy. This paper presents a modification in the de-registration policy of Multi-HLR architecture by applying the concept of implicit deregistration strategies and gives a performance analysis of this modified architecture to show how these implicit deregistration policies outperform the explicit de-registration strategy.

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Section: Introductionmentioning

confidence: 99%

A Modified Multi-HLR Architecture for Implicit De-registration Strategies

Singh¹,

Kumar²

2012

IJCA

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“…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

266

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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“…Some related works have been conducted for location management in PCS networks (e.g., [1], [2], [3], [9], [11], [16], [17], [18], [20], [22], [27], [28], [29], [30]). A per-user location caching strategy [14] is introduced to reduce the signaling cost for call delivery by reusing the cached information about a called MTs location from a previous call.…”

Section: Fig 1 a Pcs Networkmentioning

confidence: 99%

“…Location management, i.e., how to track the MTs that move from place to place is a key issue in PCS networks [1], [2], [3], [5], [10], [11], [16], [19], [27], [30].…”

Section: Introductionmentioning

confidence: 99%

A dynamic HLR location management scheme for PCS networks

Li¹,

Pan²,

Xiao³

Ieee Infocom 2004

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Abstract-In this paper, a dynamic HLR (Home Location Register) scheme for location management in PCS (Personal Communications Service) networks is presented. The proposed scheme provides a dynamic copy of mobile terminal location information in the nearest (current) HLR database. A modified table lookup procedure is also proposed for determining the current HLR easily. It allows the location registration and call delivery to be performed efficiently. An analytical model is developed for studying the performance of the proposed scheme. The performance study shows that the proposed scheme significantly reduces the system overhead for location management in PCS networks.

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Mobility management for personal communications systems

Cited by 99 publications

References 11 publications

A Modified Multi-HLR Architecture for Implicit De-registration Strategies

A Modified Multi-HLR Architecture for Implicit De-registration Strategies

Predictive distance-based mobility management for multidimensional pcs networks

A dynamic HLR location management scheme for PCS networks

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