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UID:500@lincs.fr
DTSTART;TZID=Europe/Paris:20191016T140000
DTEND;TZID=Europe/Paris:20191016T143000
DTSTAMP:20191017T115430Z
URL:https://www.lincs.fr/events/talk-by-deepa-jagyasi/
SUMMARY:Multi-cell MIMO Transceiver design for Mission-Critical
 Communication
DESCRIPTION:\n Business and Mission critical communication (MCC) is a major
 communication paradigm that is used by public agencies\, e.g.\, during
 emergency situations\, or critical infrastructure companies\, e.g.\,
 airports\, transportation\, etc. MCC has very stringent requirements in
 terms of reliability\, coverage and should offer group 
 communications.Coordinated Multimedia Multicast/Broadcast single frequency
 network (MBSFN) is considered as a potential technology for MCC as it
 benefits from increased coverage and inter-cell interference mitigation. In
 this paper\, we propose multi-input-multi-output (MIMO) multimedia MBSFN
 system design wherein each base station (BS) of a coordinated cluster
 multicasts a common message to all the users in a group. We use a greedy
 algorithm to dynamically form the cluster of synchronized BSs for optimal
 utilization of resources within an MBSFN. We assume the availability of
 perfect channel state information (CSI) knowledge and jointly obtain the
 optimal precoder and receive filters by minimizing the overall
 sum-mean-square-error (sum-MSE) constrained over the total transmit power.
 We further extend the proposed design to a robust case by considering the
 imperfections in available channel knowledge and obtain the  transceiver
 matrices that are resilient to channel errors. We also present both the
 joint and robust system design for Single-Cell point-to-multipoint (SC-PTM)
 which is an alternative solution to MBSFN in MCC. Numerical results show
 the effectiveness of the proposed network architecture for future mission
 critical communication. Furthermore\, the comparison results show that the
 proposed robust design demonstrate better performance and is resilient to
 the presence of CSI errors.\n\n\n\nBio\n\n\n\n Deepa Jagyasi received the
 Bachelor of Engineering degree in electronics and telecommunication
 engineer from Pune University\, Pune\, India\, in 2010\, the Master of
 Engineering degree in electronics and communication engineering from Mumbai
 University\, Mumbai\, India\, in 2013 and the Ph.D degree from
 International Institute ofInformation Technology\, Hyderabad\, India in
 2019. She is currently working as &nbsp\;post-doc at Département
 Informatique et Réseaux\, Telecom-Paristech\, Paris\, France. &nbsp\;Her
 research interests include robust transceiver-design\, millimeter-wave 
 communications\, multiple-input-multiple-output precoding\, machine
 learning and physical layer security. \n
CATEGORIES:Seminars,Youtube
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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DTSTART:20190331T030000
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