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UID:779@lincs.fr
DTSTART;TZID=Europe/Paris:20231213T140000
DTEND;TZID=Europe/Paris:20231213T150000
DTSTAMP:20241128T183938Z
URL:https://www.lincs.fr/events/binomial-line-cox-processes-modeling-stree
 ts-across-a-city/
SUMMARY:Binomial Line Cox Processes - Modeling Streets Across a City
DESCRIPTION:Acknowledgment: Joint work with Martin Haenggi (University of
 Notre Dame)\n\nThe current analysis of wireless networks whose transceivers
 are confined to streets is largely based on Poissonian models\, such as
 Poisson line processes and Poisson line Cox processes. We demonstrate
 important scenarios where a model with a finite and deterministic number of
 streets\, termed the binomial line process (BLP)\, is more accurate. We
 characterize the statistical properties of the BLP and the corresponding
 binomial line Cox process (BLCP) and apply them to analyze the performance
 of a network whose access points (APs) are deployed along the streets of a
 city. In order to obtain a fine-grained insight into the network
 performance\, we derive the meta-distribution of the signal-to-interference
 and noise ratio (SINR). Accordingly\, we investigate the mean local delay
 in transmission and the density of successful transmissions. These
 metrics\, respectively\, characterize the latency and coverage performance
 of the network and are key performance indicators of next-generation
 wireless systems.\n\nBio:\nGourab Ghatak is an Assistant Professor at the
 Department of Electrical Engineering at IIT Delhi\, where he is also
 affiliated with the Bharti School of Telecommunication Technology and
 Management. His research interests are stochastic geometry\, MAC-PHY
 cross-layer issues in beyond 5G\, and machine learning for wireless
 communications.\n\n&nbsp\;
CATEGORIES:Seminars,Youtube
LOCATION:Room 4B01\, 19 place Marguerite Perey\, Palaiseau\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=19 place Marguerite Perey\,
 Palaiseau\, France;X-APPLE-RADIUS=100;X-TITLE=Room 4B01:geo:0,0
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20231029T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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