Two user location strategies for personal communications services

Mohan, Seshadri; Jain, Ravi

doi:10.1109/98.295359

Cited by 217 publications

(67 citation statements)

References 2 publications

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“…But its implementation is not simple and more importantly it is computationally intensive from the point of view of the mobile. We also consider the registration strategy based on the concept of disjoint registration areas 5,6 .The comparison between the di erent strategies is based on the registration rate g r , which i s the number of registration messages per cell boundary crossing and the paging rate g p , which is the number of pagings per location request.…”

Section: Introductionmentioning

confidence: 99%

Efficient Location Tracking of Mobile Nodes for Situation Awareness

Anjum¹

1997

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Mobile user tracking is the function of collecting, updating and maintaining information about the location of a mobile user based on situational awareness information. The tracking and connectivity information maintenance mechanism proposed by us is in the form of registration schemes which are of two types single layer overlapping and multi-layer overlapping. Both types are static, simple to implement in a scenario such as that of a battle eld and under which overlapping registration areas of various sizes are allowed. The availability of various registration area sizes allow the mobile to pick the one that ts better to its message mobility pattern. An algorithm is obtained which given an heterogeneous mobile population with a variety of message mobility patterns and a registration scheme, determines an allocation of mobiles to registration areas such that the resulting aggregate registration and paging rates are below certain target values, whenever the target values are achievable.

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Section: Introductionmentioning

confidence: 99%

Efficient Location Tracking of Mobile Nodes for Situation Awareness

Anjum¹

1997

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“…We modify these parameters for the square coverage area of a cell, a cluster, or a domain. The fluid flow mobility model [33], which is also used in [12,34], assumes that MNs are moving at an average velocity of v km/hr, and their direction of movement is uniformly distributed over [0, 2π ]. Assuming that MNs are uniformly populated with a density of ρ users per km 2 in an area with boundary length L km, the rate of boundary crossing in s −1 , R, is given by R = ρvL 3600 π = 16.4 (s −1 ).…”

Section: S Y S T E M C O N F I G U R a T I O N Smentioning

confidence: 99%

MCIP: A 3G/IP Interworking System Supporting Inter-Cluster Soft Handoff

Liu¹,

Zhuang

2006

Wireless Pers Commun

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Abstract. In this paper, a novel 3-tier Mobile Cellular IP (MCIP) access network is proposed for interworking between a third generation (3G) wireless cellular system and a wireline Internet Protocol (IP) based network. An inter-cluster hard handoff scheme and an inter-cluster soft handoff scheme are proposed, based on the 3-tier MCIP system model, the core network protocol stacks, and the underlying MCIP routing algorithm. The core network protocol stack is presented to integrate the 3G radio interface and the IP-based core network, and to provide the access network with capability to support soft handoff macroscopic space diversity. The MCIP hard and soft handoff schemes are compared with the hard handoff schemes used in the Cellular IP and HAWAII access networks. The MCIP access network is more efficient in terms of signaling cost, but has the same scalability as Cellular IP and HAWAII. Both MCIP hard and soft handoff schemes enable IP packets to be delivered within the MCIP access network in-order without loss and duplication, a highly desired attribute for real-time multimedia applications. The advantages of supporting soft handoffs and quality-of-service (QoS) provisioning for real-time services are achieved at slightly increased system complexity.

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“…In order to deliver a call to MU, it is necessary to have information about its current location. This requirement has been implemented in GSM standard through HLR/VLR architecture [1][2][3]. The entire process of the mobility management component of the cellular system is responsible for two tasks:(a) Location management-that is, identification of the current geographical location or current point of attachment of a mobile unit which is required by the MSC (Mobile Switching Center) to route the call-and (b) Handoff-that is, transferring (handing off) the current (active) communication session to the next base station, which seamlessly resumes the current session using its own set of channels.…”

Section: Introductionmentioning

confidence: 99%

Location Management Optimization Schemes for Cellular System

Agrawal¹,

Singh²,

Ramakrishna³

2010

IJCA

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The ever-increasing demand of mobile system is posing a great challenge for efficient call delivery due to tremendous surge in numbers of mobile subscribers. In order to scale well with increased users, the efforts are underway to develop the new location management techniques as well as to optimize the existing ones so as to keep up-to-date information about current location of mobile phones without causing much traffic load in cellular network. Various location management optimization approaches are being explored and developed by research community in recent past. This papers sheds light on various such approaches in order to give a comprehensive overview of research registered in this field..

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Two user location strategies for personal communications services

Cited by 217 publications

References 2 publications

Efficient Location Tracking of Mobile Nodes for Situation Awareness

Efficient Location Tracking of Mobile Nodes for Situation Awareness

MCIP: A 3G/IP Interworking System Supporting Inter-Cluster Soft Handoff

Location Management Optimization Schemes for Cellular System

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