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DTSTART:20210314T030000
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DTSTAMP:20210704T192232Z
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DTSTART;TZID=US/Central:20210510T200000
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DESCRIPTION:The IEEE Austin Joint Societies&#39; Chapters of ComSoc\, Signal Pr
 ocessing\, Consumer Electronics and EMBS and Computer are pleased to bring
  a Virtual Distinguished Lecture event on\n\n“Ultra-Reliable and Low Lat
 ency Communications (URLLC)”\n\nDay:\n\nMay 10\, 2021\n\nTime:\n\n8:00 p
 m Central Time\n\nLocation:\n\nWebEx (Dial-in information will be provided
  shortly)\n\nSPEAKER:\n\nHongyang Chen\, Ph.D (UTokyo)\, IEEE Senior Membe
 r\, IEEE Distinguished Lecturer\n\nSenior Research Expert/PI\, Zhejiang La
 b\, China\,\n\nAdjunct Professor\, Hangzhou Institute for Advanced Study\,
  The University of Chinese Academy of Sciences.\n\nAdjunct Researcher\, CS
 IS\, The University of Tokyo\, Japan.\n\nAbstract\n\nUltra-reliable low la
 tency communication (URLLC)\, machine-type communication\, and enhanced mo
 bile broadband has been identified as the three main services in 5G cellul
 ar systems. Among these three services\, URLLC is the most challenging one
  in terms of design and implementation. Industrial Ethernet\, Remote Robot
  control\, and proprietary versions of some wireless technologies have bee
 n proposed to use URLLC for this purpose. 3GPP has been working on URLLC a
 s part of R15-R17 work (along with eMBB and other use cases). In this talk
 \, I will introduce a framework to satisfy both low-latency and ultra-reli
 ability requirements of URLLC. Then\, I will present our research results 
 on how to achieve URLLC including the coexistence of eMBB and URLLC. Some 
 of the related techniques have been studied and standardized will be intro
 duced as well\, including the URLLC use-cases and their requirements.\n\nB
 IO:\n\nHongyang Chen was born in China. He received the Ph.D degree from t
 he Univ. of Tokyo. Currently\, he is a senior researcher/PI at Zhejiang La
 b\, China. Previously\, he was a Researcher at Fujitsu Laboratories Limite
 d\, Japan.\n\nIn 2009\, he was a visiting researcher in the UCLA Adaptive 
 Systems Laboratory at University of California Los Angeles. His research i
 nterests include machine learning\, intelligent IoT\, ultra-reliable and l
 ow latency communications\, beyond 5G\, AI\, V2X for self-driving\, locali
 zation and location based big data analysis.\n\nHe has published 90 referr
 ed journal and conference papers in ACM Trans. on Sensor Networks\, IEEE T
 rans. on Signal Processing\, IEEE Trans. on Wireless Communications\, IEIC
 E Trans. on Fundamentals\, IEEE MILCOM\, IEEE GlOBECOM\, IEEE ICC and more
 . He has served as a TPC member for some flagship conferences\, including 
 IEEE PIMRC\, IEEE/IFIP EUC\, IEEE VTC\, IEEE CCNC\, IEEE WCNC\, IEEE GLOBE
 COM\, IEEE ICC and so on. He was a organizer/chair for a Session on WSNs a
 t IEEE MILCOM 2008. He acted as the workshop chair for GameNets 2011\, co-
 chair for IEEE Globecom11workshop on multicell cooperation. He received th
 e Best Paper Award from IEEE PIMRC&#39;09 conference.\n\nThe H-index for his p
 aper citation is 26 according to Google Scholar. He is elected as an IEEE 
 Senior Member in 2016\, IEEE ComSoc Distinguished Lecturer in 2020.\n\nDr.
  Chen served as the Editor for European Transactions on Telecommunications
  (ETT)\, the editor for IEEE Trans. on Wireless Communications\, and the a
 ssociate editor for IEEE Communications Letters. He is serving as an assoc
 iate editor for IEEE IoT journal\, a leading editor of IEEE JSTSP special 
 issue on tensor decomposition.\n\nSpecialties: Machine learning\, spatial-
 temperal big data\, urban computing\, Internet of Thing\, Localization and
  location based service\, beyond 5G\, AI\, V2X for self-driving.\n\nPLEASE
  RSVP.\n\nIf you have any question\, please connect with Fawzi Behmann at 
 f.behmann@ieee.org\, IEEE Chair of Joint Austin Chapters (ComSoc/SP/CESoc 
 &amp; Computer/EMBS)\n\nVirtual Event\, Austin\, Texas\, United States\, 78729
LOCATION:Virtual Event\, Austin\, Texas\, United States\, 78729
ORGANIZER:f.behmann@ieee.org
SEQUENCE:5
SUMMARY:Austin-IEEE Joint Chapters bring VIRTUAL Distinguished Lecture even
 t on “Ultra-Reliable and Low Latency Communications (URLLC)”
URL;VALUE=URI:https://events.vtools.ieee.org/m/269970
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;The IEEE Austin Joint Societies&#39; C
 hapters of ComSoc\, Signal Processing\, Consumer Electronics and EMBS and 
 Computer are pleased to bring a Virtual Distinguished Lecture event on&lt;/st
 rong&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;ldquo\;Ultra-Reliable and Low Latency Commu
 nications (URLLC)&amp;rdquo\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;
 Day:&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;May 10\, 2021&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Time:
  &amp;nbsp\;&lt;/strong&gt; &amp;nbsp\; &amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;8:00 pm Central Time&amp;nbsp\; &amp;nbs
 p\; &amp;nbsp\; &amp;nbsp\;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Location:&amp;nbsp\
 ;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;WebEx (Dial-in information will be provided shortly)&lt;/p
 &gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p class=&quot;Default&quot;&gt;&lt;strong&gt;SPEAKER:&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Ho
 ngyang Chen\, Ph.D (UTokyo)\, IEEE Senior Member\, IEEE Distinguished Lect
 urer&lt;/p&gt;\n&lt;p&gt;Senior Research Expert/PI\, Zhejiang Lab\, China\,&lt;/p&gt;\n&lt;p&gt;Ad
 junct Professor\, Hangzhou Institute for Advanced Study\, The University o
 f Chinese Academy of Sciences.&lt;/p&gt;\n&lt;p&gt;Adjunct&amp;nbsp\;Researcher\, CSIS\, T
 he University of Tokyo\, Japan.&lt;/p&gt;\n&lt;p class=&quot;Default&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;n
 bsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;Ult
 ra-reliable low latency communication (URLLC)\, machine-type communication
 \, and enhanced mobile broadband has been identified as the three main ser
 vices in 5G cellular systems. Among these three services\, URLLC is the mo
 st challenging one in terms of design and implementation. Industrial Ether
 net\, Remote Robot control\, and proprietary versions of some wireless tec
 hnologies have been proposed to use URLLC for this purpose. 3GPP has been 
 working on URLLC as part of R15-R17 work (along with eMBB and other use ca
 ses).&amp;nbsp\;In this talk\,&amp;nbsp\;I will introduce a framework to satisfy b
 oth low-latency and ultra-reliability requirements of URLLC. Then\, I will
  present our&amp;nbsp\;research results on how to achieve URLLC including the 
 coexistence of eMBB and&amp;nbsp\;URLLC. Some of the related techniques have b
 een studied and standardized will be introduced as well\, including the UR
 LLC use-cases and their requirements.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;BIO:
 &lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Hongyang Chen was born in China. He received the Ph.D de
 gree from the Univ. of Tokyo. Currently\, he is a senior researcher/PI at 
 Zhejiang Lab\, China. Previously\, he was a Researcher at Fujitsu Laborato
 ries Limited\, Japan.&lt;/p&gt;\n&lt;p&gt;In 2009\, he was a visiting researcher in th
 e UCLA Adaptive Systems Laboratory at University of California Los Angeles
 . His research interests include machine learning\, intelligent IoT\, ultr
 a-reliable and low latency communications\, beyond 5G\, AI\, V2X for self-
 driving\, localization and location based big data analysis.&lt;/p&gt;\n&lt;p&gt;He ha
 s published 90 referred journal and conference papers in&amp;nbsp\;&lt;em&gt;ACM Tra
 ns. on Sensor Networks&lt;/em&gt;\,&amp;nbsp\;&lt;em&gt;IEEE Trans. on Signal Processing&lt;/
 em&gt;\,&amp;nbsp\;&lt;em&gt;IEEE Trans. on Wireless Communications&lt;/em&gt;\,&amp;nbsp\;&lt;em&gt;IE
 ICE Trans. on Fundamentals&lt;/em&gt;\, IEEE MILCOM\, IEEE GlOBECOM\, IEEE ICC a
 nd more. He has served as a TPC member for some flagship conferences\, inc
 luding IEEE PIMRC\, IEEE/IFIP EUC\, IEEE VTC\, IEEE CCNC\, IEEE WCNC\, IEE
 E GLOBECOM\, IEEE ICC and so on. He was a organizer/chair for a Session on
  WSNs at IEEE MILCOM 2008. He acted as the workshop chair for GameNets 201
 1\, co-chair for IEEE Globecom11workshop on multicell cooperation. He rece
 ived the Best Paper Award from IEEE PIMRC&#39;09 conference.&lt;/p&gt;\n&lt;p&gt;The H-ind
 ex for his paper citation is 26 according to Google Scholar. He is elected
  as an IEEE Senior Member in 2016\, IEEE ComSoc Distinguished Lecturer in 
 2020.&lt;/p&gt;\n&lt;p&gt;Dr. Chen served as the Editor for European Transactions on T
 elecommunications (ETT)\, the editor for&amp;nbsp\;&lt;em&gt;IEEE Trans. on Wireless
  Communications&lt;/em&gt;\, and the associate editor for&amp;nbsp\;&lt;em&gt;IEEE&amp;nbsp\;C
 ommunications Letters&lt;/em&gt;. He is serving as an associate editor for&amp;nbsp\
 ;&lt;em&gt;IEEE IoT journal&lt;/em&gt;\, a leading editor of&amp;nbsp\;&lt;em&gt;IEEE JSTSP&lt;/em&gt;
 &amp;nbsp\;special issue on tensor decomposition.&lt;/p&gt;\n&lt;p&gt;Specialties: Machine
  learning\, spatial-temperal big data\, urban computing\, Internet of Thin
 g\, Localization and location based service\, beyond 5G\, AI\, V2X for sel
 f-driving.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;PLEASE RSVP.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbs
 p\;&lt;/p&gt;\n&lt;p&gt;If you have any question\, please connect with Fawzi Behmann a
 t f.behmann@ieee.org\, IEEE Chair of Joint Austin Chapters (ComSoc/SP/CESo
 c &amp;amp\; Computer/EMBS)&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p
 &gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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