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DTSTAMP:20260609T062512Z
CREATED:20100308T102307Z
UID:ATEvent-bb00a9fdda1cdd41e5f09fff72d14770
LAST-MODIFIED:20100917T082814Z
SUMMARY:Analysis and Design of Wireless Networks: A Stochastic Geometry Approach
DTSTART:20100923T070000Z
DTEND:20100924T140000Z
DESCRIPTION:This course gives an in-depth and self-contained introduct
 ion to stochastic geometry and random graphs\, applied to the analysis
  and design of modern wireless systems. \n\nIn many such systems\, inc
 luding cellular\, ad hoc\, sensor\, and cognitive networks\, users or 
 terminals are mobile or deployed in\nirregular patterns\, which introd
 uces considerable uncertainty in their\nlocations. Since signal powers
  and interference depend critically on the node distances\, it is esse
 ntial that the network geometry be accurately modeled for analysis and
  design purposes.\n\nAs a consequence\, stochastic geometry and the th
 eory of random geometric graphs have emerged as essential tools for re
 search in wireless networks. In the last decade\, these techniques hav
 e led to important results and insights on the connectivity\, capacity
 \, and fundamental limits of wireless networks\, and the coverage of s
 ensor networks\, and\, in view of new emerging types of wireless netwo
 rks such as cognitive and mesh networks and femtocell and relaying app
 roaches to enhance cellular systems\, their importance will only incre
 ase.
LOCATION:Kasarmintie 13\, Oulu
CATEGORIES:Seminar
CONTACT:Maria Sivonen\, +358 40 777 7023\, office@inforte.fi
CLASS:PUBLIC
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