BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
BEGIN:VEVENT
UID:609@lincs.fr
DTSTART;TZID=Europe/Paris:20210324T140000
DTEND;TZID=Europe/Paris:20210324T150000
DTSTAMP:20210330T093644Z
URL:https://www.lincs.fr/events/dnn-based-beam-selection-in-mmw-heterogene
 ous-networks/
SUMMARY:DNN Based Beam Selection in mmW Heterogeneous Networks
DESCRIPTION:In this work\, we consider a heterogeneous cellular network
 wherein multiple small cell millimeter wave (mmW) base stations (BSs)
 coexist with legacy sub-6GHz macro BSs. In the mmW band\, small cells use
 multiple narrow beams to ensure sufficient coverage and User Equipments
 (UEs) have to select the best small cell and the best beam in order to
 access the network. This process usually based on exhaustive search may
 introduce unacceptable latency. In order to address this issue\, we rely on
 the sub-6GHz macro BS support and propose a deep neural network (DNN)
 architecture that utilizes basic components from the Channel State
 Information (CSI) of sub-6GHz network as input features. The output of the
 DNN is the mmW BS and beam selection that can provide the best
 communication performance. In the set of features\, we avoid using the UE
 location\, which may not be readily available for every device. We
 formulate a mmW BS selection and beam selection problem as a classification
 and regression problem respectively and propose a joint solution using a
 branched neural network. The numerical comparison with the conventional
 exhaustive search results shows that the proposed design demonstrate better
 performance than exhaustive search in terms of latency with at least 85%
 accuracy.
CATEGORIES:Seminars,Youtube
LOCATION:Zoom + LINCS\, 23 avenue d'Italie\, Paris\, 75013\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\,
 Paris\, 75013\, France;X-APPLE-RADIUS=100;X-TITLE=Zoom + LINCS:geo:0,0
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20201025T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
END:VTIMEZONE
END:VCALENDAR