A new mobility model for performance evaluation of future mobile communication systems

Jugl, E.; Boche, Holger

doi:10.1109/icc.1999.765543

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…Earlier studies on mobility were primarily carried out with outdoor environments [9,[15][16][17][18]. Let us consider an indoor environment, a building consisting of floors and elevators as shown in Figure 6.…”

Section: Indoor Mobility Modelingmentioning

confidence: 99%

“…Thus, it is important to accurately model the user movement in a particular scenario together with a suitable traffic model. Several mobility models have been developed and investigated in the literature [9,[15][16][17][18]. Most of the work are dealt with outdoor scenarios (urban or suburban) considering vehicle-borne mobile users in street layouts.…”

Section: Indoor Mobility Modelingmentioning

confidence: 99%

“…A wide range of user-centric applications are anticipated in the future in the context of designing integrated networks for airport terminals, shopping malls or even for a home Personal Communication System (PCS) [5,6]. Investigating such futuristic systems present significant challenges in the areas such as the interaction between multiple interfaces [4], pico-cell and femto cell environments [7,8], Quality of Service (QoS) [9], traffic modeling [2,[10][11][12], user mobility modeling [11,[13][14][15][16][17][18] and handoff processes [19][20][21]. Though, there are some discrete, environment-specific simulation studies [4,8] available at present, the in-depth research on such futuristic systems requires more organized and analytical approach with simulation and experiments as verification tools.…”

Section: Introductionmentioning

confidence: 99%

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Performance Modeling of Cellular Mobile Systems: A Review of Recent Advances

Bhattacharya¹,

Gupta²,

Kar³

2010

IETE Tech Rev

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In this paper, we review some of the earlier studies on performance modeling of cellular mobile systems and their improvements proposed in some recent studies. These studies deal with a number of cellular mobile traffic models for fixed channel allocation and dynamic channel allocation, considering the cases, where user population is either infinite or finite. Further, the modeling of handoff process based on various traffic profile has also been investigated. The proposed traffic models were used for mobility modeling and performance analysis in terms of some Quality of Service (QoS) parameters. We also comment on the future scopes of performance analysis in the context of Green Information and Communication Technologies, which may lead to energy-efficient and environment friendly future cellular mobile systems.

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Section: Indoor Mobility Modelingmentioning

confidence: 99%

Section: Indoor Mobility Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Modeling of Cellular Mobile Systems: A Review of Recent Advances

Bhattacharya¹,

Gupta²,

Kar³

2010

IETE Tech Rev

View full text Add to dashboard Cite

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“…A group of models used in this type of problems is the Markovian model group [15], [48], which can capture patterns in the mobility model (such as the commonly known "home-work-home-shoppinghome" model) and can change the mobility behavior on spatial (part of the city) and temporal (part of the day) dependence. Moreover, recent research has proposed and used flavors of random walk mobility models in PCS networks [5], [22], [47]. The choice of the mobility model for a problem and its solution greatly depends on the factors of what affect the problem.…”

Section: Mobility Models Reviewmentioning

confidence: 99%

“…Markovian models have been used to describe medium and large-scale mobility patterns [15], [22], [48]. We have used a Markovian random-walk model to define the problem and also to evaluate the performance.…”

Section: Related Workmentioning

confidence: 99%

Optimal offline and online registration techniques for location management with overlapping registration areas

Varsamopoulos

Gupta

2005

IEEE Trans. on Mobile Comput.

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Personal Communication Services (PCS) standards such as the IS-41 and the GSM use a location management scheme which is based on registration areas (RA). Overlapping of registration areas has been proposed to reduce the overhead of location updates in such systems. Overlapping provides multiple choices for the selection of a registration area, a feature which does not appear in environments of nonoverlapping RAs. In this paper, we demonstrate how the choice of a registration area affects the number of subsequent registrations and define the problem of optimal choice based on minimization of subsequent registrations. We study two versions of the problem: 1) the deterministic (or offline) version, in which the entire trajectory of the mobile unit is known a priori, and 2) the stochastic (or online) version, in which the trajectory of the mobile unit is not known a priori, but the system has the knowledge of the mobility pattern of the mobile. The mobility pattern is modeled as a random walk across coverage area. In the deterministic case, the method presented computes an optimal solution to the registration problem. In the stochastic case, we present a method that determines the registration which minimizes the expected number of registrations by looking ahead in the probable future paths of the mobile unit. The algorithm's time complexity has exponential dependence on the length of the look-ahead. The cost of search is independent of the choice, therefore the algorithm does not increase the search cost. We also consider an alternative cost model for the stochastic case and propose a preemptive and a nonpreemptive approach each of which incurs different numbers of hard and soft registration operations. Simulation results show a reduction of 25-30 percent in number of registrations over a random-choice scheme. This can be translated to 5-20 percent effective location management load reduction for most cases, subject to the call-to-mobility ratio (CMR) of a mobile unit and search-cost-to-update-cost ratio (CCR) in the network.

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A new topology-based algorithm for next cell prediction in cellular networks

Tolg

Bziuk

GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489)

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A new mobility model for performance evaluation of future mobile communication systems

Cited by 6 publications

References 8 publications

Performance Modeling of Cellular Mobile Systems: A Review of Recent Advances

Performance Modeling of Cellular Mobile Systems: A Review of Recent Advances

Optimal offline and online registration techniques for location management with overlapping registration areas

A new topology-based algorithm for next cell prediction in cellular networks

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