Proceedings of the 6th Annual International Conference on Mobile Computing and Networking 2000
DOI: 10.1145/345910.345921
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Analysis of analytical mobility models with respect to the applicability for handover modeling and to the estimation of signaling cost

Abstract: This paper analyzes two analytical mobility models for their suitability to handover modeling and to the estimation of signaling cost. Some insufficiencies of the often employed Hong/Rappaport model are detected. Here, an infinite mean dwell time occurs which is not suitable for performance evaluation of mobile communications systems. Therefore, handover modeling is not possible. To prevent infinite dwell times, an universal condition for the velocity distribution is derived. The biased sampling formula of the… Show more

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Cited by 4 publications
(3 citation statements)
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“…2, we compare the inter-handover time with the cell dwell time [8], i.e. the time a node dwells within radius R, assuming pedestrians (v min = 1.4 m/s) and cars (v max = 14 m/s) as well as the values D = 100 m, R = 70 m, and (from geometric considerations) r = 32 m. The influence of the hysteresis effect can clearly be seen in the graph.…”
Section: Inter-handover Timementioning
confidence: 99%
“…2, we compare the inter-handover time with the cell dwell time [8], i.e. the time a node dwells within radius R, assuming pedestrians (v min = 1.4 m/s) and cars (v max = 14 m/s) as well as the values D = 100 m, R = 70 m, and (from geometric considerations) r = 32 m. The influence of the hysteresis effect can clearly be seen in the graph.…”
Section: Inter-handover Timementioning
confidence: 99%
“…It is intuitive that frequent reconfigurations for the terminal should be performed in order to increase its adaptation to the changes of radio network environment. However, frequent reconfigurations in terminal's side also lead to higher blocking rate, to signaling overhead between terminal and network [12], [13], and introduce more processing delays [14]. Furthermore, if the reconfigurations are required in higher layers such as transport and application layers in IP-based networks, signaling overhead between network entities and processing delays should be considered [15]- [17].…”
mentioning
confidence: 99%
“…A significant amount of research has also been done is computing the probabilistic models about the arrival time and residence time probability distribution [19], [20], [21]. The general approach tries to collect statistics of multiple users in the region and fit the information into known probabilistic model.…”
Section: Profilementioning
confidence: 99%