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UID:725@lincs.fr
DTSTART;TZID=Europe/Paris:20221116T150000
DTEND;TZID=Europe/Paris:20221116T160000
DTSTAMP:20221208T133503Z
URL:https://www.lincs.fr/events/coverage-and-stability-analysis-of-cellula
 r-network-with-temporal-traffic/
SUMMARY:Coverage and Stability Analysis of Cellular Network with Temporal
 Traffic
DESCRIPTION:In this talk\, we discuss the stability region characterization
 of a random network when a traffic model is integrated into the network
 geometry description.\n\nFirst\, we characterized the stable coverage
 probability of a random network. Starting from the notion of dynamic
 coverage probability\, the interaction between the queue states in the
 network is taken into account using discrete Markov chain modelling of the
 queues\, where the typical user's service rate depends on the dynamic
 coverage probability.\n\nA more fine-grated description of the phenomenon
 is made by answering the question\, "what is the proportion of unstable
 queues in the network?" In this case\, the notion of epsilon-stability is
 exploited\, which describes the set of traffic intensities for which a
 queue taken at random has a probability of diverging less than
 epsilon.\n\nFinally\, the characterization of the stable region by
 considering the resource allocation is very difficult to obtain\, because
 of the dependence between the geometry and the network's dynamicists and
 the allocation strategy. However\, the dynamic nature of the network
 considered lends itself perfectly to description by a Markovian decision
 process\, for which reinforcement learning technologies can be proposed. We
 therefore study the stability-cost characteristic of the network operation
 according to the transmission policy.
CATEGORIES:Seminars,Youtube
LOCATION:Room 4A467 - Telecom Paris\, 19 place marguerite perey\,
 Palaiseau\, 91120\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=19 place marguerite perey\,
 Palaiseau\, 91120\, France;X-APPLE-RADIUS=100;X-TITLE=Room 4A467 - Telecom
 Paris:geo:0,0
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20221030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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