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UID:754@lincs.fr
DTSTART;TZID=Europe/Paris:20230301T150000
DTEND;TZID=Europe/Paris:20230301T160000
DTSTAMP:20231221T095048Z
URL:https://www.lincs.fr/events/coverage-and-capacity-of-joint-communicati
 on-and-sensing-in-wireless-networks/
SUMMARY:Coverage and Capacity of Joint Communication and  Sensing in
 Wireless Networks
DESCRIPTION:From an information theoretic perspective\, joint communication
 and sensing (JCAS) represents a natural generalization of communication
 network functionality. However\, it requires the re-evaluation of network
 performance from a multi-objective perspective. We develop a novel
 mathematical framework for characterizing the sensing and communication
 coverage probability and ergodic capacity in JCAS networks. We employ an
 information theoretic formulation of radar tracking to extend the notions
 of coverage probability and ergodic capacity to the radar setting. We
 define sensing coverage probability as the probability that the rate of
 information extracted about the parameters of interest associated with a
 typical radar target exceeds some threshold\, and sensing ergodic capacity
 as the expected value of the aforementioned rate of information. Using this
 framework\, we analyze the downlink sensing and communication coverage and
 capacity of a JCAS network employing a shared multicarrier waveform and
 analog beamforming. Leveraging tools from stochastic geometry\, we derive
 upper and lower bounds for these quantities. We also develop several
 general technical results including: i) a generic method for obtaining
 closed form upper and lower bounds on the Laplace Transform of a shot noise
 process\, ii) a new analog of Ho?lder’s Inequality to the setting of
 harmonic means\, and iii) a relation between the Laplace and Mellin
 Transforms of a non-negative random variable. We use the derived bounds to
 numerically investigate the performance of JCAS networks under varying base
 station and blockage density. Among several insights\, our numerical
 analysis indicates that network densification improves sensing performance
 – in contrast to communications.\n\nSlides
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
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DTSTART:20221030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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