|Speaker :||Deepa Jagyasi|
|Time:||2:00 pm - 2:30 pm|
|Location:||Paris-Rennes Room (EIT Digital)|
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.
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 of
Information Technology, Hyderabad, India in 2019. She is currently working as post-doc at Département Informatique et Réseaux, Telecom-Paristech, Paris, France. Her research interests include robust transceiver-design, millimeter-wave communications, multiple-input-multiple-output precoding, machine learning and physical layer security.