Double invited talks "6G, XR and the Metaverse – A Silicon Valley View" and "A Dual-Blind Deconvolution Perspective of Integrated Sensing and Communications "

#6G #Metaverse #XR #Sensing #Communications
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Austin ComSoc/SP/CtSoc and Computer/EMBS  joint chapters  and in collaboration with Princeton/Central Jersey Sec Jt Chap,CT08/Com19 and ACM Baltimore Chapter would like to promote  double invited  talks on:

 

 "6G, XR and the Metaverse – A Silicon Valley View"

by Prof. Mischa Dohler, VP Emerging Technologies, Ericsson Inc.

Abstract: In this presentation, I will outline current industry, standards and academic thinking around 6G, XR and the Metaverse. I will then align this with emerging services, applications and innovation capabilities. This will lay the ground for discussions on the challenges that need to be solved by the ecosystem to succeed and contribute to an efficient, human-friendly, sustainable society through ever-present intelligent communication.

and

"A Dual-Blind Deconvolution Perspective of Integrated Sensing and Communications"

by Kumar Vijay Mishra, Senior Research Fellow, USA Research Lab., Adelphi, MD

Abstract: Recent interest in integrated sensing and communications (ISAC) has led to the design of novel signal processing techniques to recover information from an overlaid radar-communications signal. In this talk, we present a general spectral coexistence scenario, wherein the channels and transmit signals of both radar and communications systems are unknown at the receiver. In this dual-blind deconvolution (DBD) problem, a common receiver admits a multi-carrier wireless communications signal that is overlaid with the radar signal reflected off multiple targets. The communications and radar channels are represented by continuous-valued range-time and Doppler velocities of multiple transmission paths and multiple targets. We exploit the sparsity of both channels to solve the highly ill-posed DBD problem by casting it into a sum of multivariate atomic norms (SoMAN) minimization. We devise a semidefinite program to estimate the unknown target and communications parameters using the theories of positive-hyperoctant trigonometric polynomials (PhTP). Our theoretical analyses show that the minimum number of samples required for perfect recovery scale logarithmically with the maximum of the radar targets and communications paths rather than their sum. We show that our SoMAN method and PhTP formulations are also applicable to more general scenarios such as unsynchronized transmission, the presence of noise, and multiple emitters. We also examine this problem using extremal functions from the Beurling-Selberg interpolation theory. Toward the end of the talk, we will briefly touch upon our research on other ISAC topics.

 

Bios

Mischa Dohler is now VP of Emerging Technologies at Ericsson Inc. in Silicon Valley, work- ing on cutting-edge topics of 6G, Metaverse, XR, Quantum, and Blockchain. He serves on the Technical Advisory Committee of the FCC and on the Spectrum Advisory Board of Ofcom. He is a Fellow of the IEEE, the Royal Academy of Engineering, the Royal Society of Arts (RSA), the Institution of Engineering and Technology (IET); and a Distinguished Member of Harvard Square Leaders Excellence. He is a serial entrepreneur with 5 companies; a composer & pianist with 5 albums on Spotify/iTunes; and fluent in several languages. He has had ample coverage by national and international press and media and is featured on Amazon Prime. He is a frequent keynote, panel, and tutorial speaker and has received numerous awards. He has pioneered several research fields, contributed to numerous wireless broadband, IoT/M2M, and cyber security standards holds a dozen patents, organized and chaired numerous conferences, was the Editor-in-Chief of two journals, has more than 300 highly-cited publications, and authored several books. He is a Top-1% Cited Innovator across all science fields globally. He was a Professor in Wireless Communications at King’s College London and Director of the Centre for Telecommunications Research from 2013-2021, driving cross-disciplinary research and innovation in technology, sciences, and arts. He is the co-founder and former CTO of the IoT-pioneering company Worldsensing; cofounder and former CTO of the AI-driven satellite company SiriusInsight.AI; and cofounder of the sustainability company Movingbeans. He also worked as a Senior Researcher at Orange/France Telecom from 2005-2008.
 
Kumar Vijay Mishra (S’08-M’15-SM’18) obtained a Ph.D. in electrical engineering and M.S. in mathematics from The University of Iowa in 2015, and M.S. in electrical engineering from Colorado State University in 2012, while working on NASA’s Global Precipitation Mission Ground Validation (GPM-GV) weather radars. He received his B. Tech. summa cum laude (Gold Medal, Honors) in electronics and communication engineering from the National Institute of Technology, Hamirpur (NITH), India in 2003. He is currently a Senior Fellow at the United States DEVCOM Army Research Laboratory (ARL), Adelphi; Technical Adviser to Singapore-based automotive radar start-up Hertzwell and Boston-based imaging radar startup Aura Intelligent Systems; and honorary Research Fellow at SnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg. He is the Distinguished Lecturer of the IEEE Communications Society (2023-2024), IEEE Aerospace and Electronic Systems Society (AESS) (2023-2024), and IEEE Future Networks Initiative (2022). He has received Best Paper Awards at IEEE MLSP 2019 and IEEE ACES Symposium 2019. is Chair (2023-pres- ent) of the Synthetic Apertures Technical Working Group of the IEEE Signal Processing Society (SPS) and Vice-Chair (2021-present) of the IEEE Synthetic Aperture Standards Committee, which is the first SPS standards committee. He is the Vice Chair (2021-2023) and Chair-designate (2023-2026) of the International Union of Radio Science (URSI) Commission C. He has been an elected member of three technical committees of IEEE SPS: SPCOM, SAM, and ASPS, and IEEE AESS Radar Systems Panel. Since 2020, he has been Associate Editor of IEEE Transactions on Aerospace and Electronic Systems, where he was awarded Outstanding Editor recognition in 2021. He is the lead co-editor of three upcoming books: Signal Processing for Joint Radar-Communications (Wiley-IEEE Press), Next-Generation Cognitive Radar Systems (IET Press Radar, Electromagnetics & Signal Processing Technologies Series), and Advances in Weather Radar Volumes 1, 2 & 3 (IET Press Radar, Electromagnetics & Signal Processing Technologies Series). His research interests include radar systems, signal processing, remote sensing, and electromagnetics.
 

This session will be in-person as well as virtual. 

For any additional information, please send an email to

F. Behmann at f.behmann@ieee.org 

Or 

 Ashutosh Dutta  at Ashutosh.Dutta@jhuapl.edu 

 



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  • Date: 13 Feb 2023
  • Time: 05:30 PM to 08:00 PM
  • All times are (UTC-05:00) Eastern Time (US & Canada)
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