Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/355
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dc.contributor.authorSadhukhan, Samir K
dc.contributor.authorMandal, Swarup
dc.contributor.authorBhaumik, Partha
dc.contributor.authorSaha, Debashis
dc.date.accessioned2017-05-05T10:03:08Z
dc.date.accessioned2021-08-26T03:55:06Z-
dc.date.available2017-05-05T10:03:08Z
dc.date.available2021-08-26T03:55:06Z-
dc.date.issued2009-08-01
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/355-
dc.description.abstractUser mobility is an important aspect for handoff planning in cellular networks because handoff depends on network topology (configuration of cells) and user mobility pattern. Mobility pattern largely depends on the user’s behavior, geographical area, location, dwell time, direction and speed. While case studies are rare in public domain, most analytical and simulation studies adopt circular and hexagonal cell configuration. A pure random walk mobility model using hexagonal cells assumes that a user can move in all six directions from its current cell to its neighboring cells with equal probability (1/6) while that using circular cells assumes uniform distribution over some predefined fixed directions. However, such assumptions are not applicable in practical cases where users know their destination locations before the move. Such move is not purely random; rather it is somewhat direction-based and depends on present location and the destination of the user. For instance, a user often returns to the source when mobility is diurnal. In this paper we have studied direction-based diurnal mobility model of a user. We have formulated a Markov model for such movement and have given a theoretical upper bound of cell boundary crossings (expected number of handoffs) by the user. We also simulate the mobility environment and observe that a majority of complex and simple handoff comes from a small number of cells of the network.en_US
dc.description.sponsorshipINDIAN INSTITUTE OF MANAGEMENT CALCUTTAen_US
dc.language.isoen_USen_US
dc.publisherINDIAN INSTITUTE OF MANAGEMENT CALCUTTAen_US
dc.relation.ispartofseriesWORKING PAPER SERIES;WPS No. 644/ August 2009
dc.subjectNetwork planningen_US
dc.subjectCellular networken_US
dc.subjectMobility modelen_US
dc.subjectMarkov modelen_US
dc.subjectDirection-baseden_US
dc.subjectDiurnalen_US
dc.titleA Markov-based Diurnal Mobility Model for 3G Cellular Networksen_US
dc.typeWorking Paperen_US
Appears in Collections:2009

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