A Traffic Model for Machine-Type Communications Using Spatial Point Processes

Publication: Research - peer-reviewConference article in Journal

Abstract

A source traffic model for machine-to-machine communications is presented in this paper. We consider a model in which devices operate in a regular mode until they are triggered into an alarm mode by an alarm event. The positions of devices and events are modeled by means of Poisson point processes, where the generated traffic by a given device depends on its position and event positions. We first consider the case where devices and events are static and devices generate traffic according to a Bernoulli process, where we derive the total rate from the devices at the base station. We then extend the model by defining a two-state Markov chain for each device, which allows for devices to stay in alarm mode for a geometrically distributed holding time. The temporal characteristics of this model are analyzed via the autocovariance function, where the effect of event density and mean holding time are shown.
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Details

A source traffic model for machine-to-machine communications is presented in this paper. We consider a model in which devices operate in a regular mode until they are triggered into an alarm mode by an alarm event. The positions of devices and events are modeled by means of Poisson point processes, where the generated traffic by a given device depends on its position and event positions. We first consider the case where devices and events are static and devices generate traffic according to a Bernoulli process, where we derive the total rate from the devices at the base station. We then extend the model by defining a two-state Markov chain for each device, which allows for devices to stay in alarm mode for a geometrically distributed holding time. The temporal characteristics of this model are analyzed via the autocovariance function, where the effect of event density and mean holding time are shown.
Original languageEnglish
JournalIEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops
ISSN2166-9570
StateAccepted/In press - 2017
EventPIMRC 2017 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Montreal, Canada

Conference

ConferencePIMRC 2017 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
CountryCanada
CityMontreal
Period08/10/201713/10/2017
Internet address

    Keywords

  • Machine-type communications, Internet-of-things, Spatial traffic model, Poisson point process

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