BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210420T223603Z UID:0EFE9AA0-C407-44D2-B0F9-B0E77021E6E1 DTSTART;TZID=America/New_York:20210420T170000 DTEND;TZID=America/New_York:20210420T180000 DESCRIPTION:Arumugam Nallanathan\, FIET\, FIEEE\, Professor of Wireless Com munications\, Head of Communication Systems Research (CSR) Group\, School of Electronic Engineering and Computer Science\, Faculty of Science and En gineering\, Queen Mary University of London\, Mile End Road\, London\, E1 4NS\, United Kingdom\, Web: http://www.eecs.qmul.ac.uk/~nalla/\n\nSHORT-BI O:\n\nArumugam Nallanathan is Professor of Wireless Communications and Hea d of the Communication Systems Research (CSR) group in the School of Elect ronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’ s College London from December 2007 to August 2017\, where he was Professo r of Wireless Communications from April 2013 to August 2017 and a Visiting Professor from September 2017. He was an Assistant Professor in the Depar tment of Electrical and Computer Engineering\, National University of Sing apore from August 2000 to December 2007.\n\nHis research interests include Artificial Intelligence for Wireless Systems\, 5G and beyond Wireless Net works\, Internet of Things (IoT) and Molecular Communications. He publishe d nearly 500 technical papers (including more than 200 top IEEE journal pa pers) in scientific journals and international conferences. He is a co-rec ipient of the Best Paper Awards presented at the IEEE International Confer ence on Communications 2016 (ICC’2016)\, IEEE Global Communications Conf erence 2017 (GLOBECOM’2017) and IEEE Vehicular Technology Conference 201 7 (VTC’2017). He is an Editor for IEEE Transactions on Communications an d a Senior Editor for IEEE Wireless Communications Letters. He was an Edit or for IEEE Transactions on Wireless Communications (2006-2011)\, IEEE Tra nsactions on Vehicular Technology (2006-2017) and IEEE Signal Processing L etters. He served as the Chair for the Signal Processing and Communication Electronics Technical Committee of IEEE Communications Society and Techni cal Program Chair and member of Technical Program Committees in numerous I EEE conferences. He received the IEEE Communications Society SPCE outstand ing service award 2012 and IEEE Communications Society RCC outstanding ser vice award 2014. He has been selected as a Web of Science (ISI) Highly Cit ed Researcher in 2016. He is an IEEE Fellow and IEEE Distinguished Lecture r.\n\nABSTRACT: Cellular-based networks are expected to offer connectivit y for massive Internet of Things (mIoT) systems. However\, their Random Ac cess CHannel (RACH) procedure suffers from unreliability\, due to the coll ision from the simultaneous massive access. Despite that this collision pr oblem has been treated in existing RACH schemes\, these schemes usually or ganize IoT devices’ transmission and re-transmission along with fixed pa rameters\, thus can hardly adapt to time-varying traffic patterns. Without adaptation\, the RACH procedure easily suffers from high access delay\, h igh energy consumption\, or even access unavailability. In this talk\, how to optimize the RACH procedure in real-time by maximizing a long-term hyb rid multi-objective function\, which consists of the number of access succ ess devices\, the average energy consumption\, and the average access dela y will be presented.\n\nCo-sponsored by: IEEE Uruguay\n\nAgenda: \nREGISTE RED ATEENDES WILL BE MAILED THE CONNECTION LINK 24 HOURS BEFORE THE EVENT: \n\nREGISTRATION LINK: https://events.vtools.ieee.org/event/register/26912 2\n\nEVENT: https://events.vtools.ieee.org/m/269122\nAGENDA:\nIntroduction to NB-IoT\nChallenges in NB-IoT\nSolution using Deep Reinforcement Learni ng\n\nVirtual: https://events.vtools.ieee.org/m/269122 LOCATION:Virtual: https://events.vtools.ieee.org/m/269122 ORGANIZER:ggiannattasio@gmail.com SEQUENCE:11 SUMMARY:Virtual Distinguished Lecture "Artificial Intelligence (AI) for Mas sive Internet of Things (mIoT)"- Dr. Arumugam Nallanathan URL;VALUE=URI:https://events.vtools.ieee.org/m/269122 X-ALT-DESC:Description: <br /><p><span style="font-size: 10pt\;"><strong>Ar umugam Nallanathan\, FIET\, FIEEE\,&nbsp\;</strong>Professor of Wireless C ommunications\,&nbsp\;Head of Communication Systems Research (CSR) Group\, &nbsp\;School of Electronic Engineering and Computer Science\,&nbsp\;Facul ty of Science and Engineering\, Queen Mary University of London\,&nbsp\;Mi le End Road\, London\, E1 4NS\, United Kingdom\,&nbsp\;Web:&nbsp\;<a href= "http://www.eecs.qmul.ac.uk/~nalla/">http://www.eecs.qmul.ac.uk/~nalla/</a ></span></p>\n<p><span style="font-size: 10pt\;"><strong>SHORT-BIO:</stron g>&nbsp\;</span></p>\n<p style="font-weight: 400\;">Arumugam Nallanathan i s Professor of Wireless Communications and Head of the Communication Syste ms Research (CSR) group in the School of Electronic Engineering and Comput er Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King&rsquo\;s College London from D ecember 2007 to August 2017\, where he was Professor of Wireless Communica tions from April 2013 to August 2017 and a Visiting Professor from Septemb er 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering\, National University of Singapore from August 2000 to December 2007.&nbsp\;&nbsp\;</p>\n<p style="font-weight: 400\;">His res earch interests include Artificial Intelligence for Wireless Systems\, 5G and beyond Wireless Networks\, Internet of Things (IoT) and Molecular Comm unications. He published nearly 500 technical papers (including more than 200 top IEEE journal papers) in scientific journals and international conf erences. He is a co-recipient of the Best Paper Awards presented at the IE EE International Conference on Communications 2016 (ICC&rsquo\;2016)\, IEE E Global Communications Conference 2017 (GLOBECOM&rsquo\;2017) and IEEE Ve hicular Technology Conference 2017 (VTC&rsquo\;2017). He is an Editor for IEEE Transactions on Communications and a Senior Editor for IEEE Wireless Communications Letters. He was an Editor for IEEE Transactions on Wireless Communications (2006-2011)\, IEEE Transactions on Vehicular Technology (2 006-2017) and IEEE Signal Processing Letters. He served as the Chair for t he Signal Processing and Communication Electronics Technical Committee of IEEE Communications Society and Technical Program Chair and member of Tech nical Program Committees in numerous IEEE conferences. He received the IEE E Communications Society SPCE outstanding service award 2012 and IEEE Comm unications Society RCC outstanding service award 2014. He has been selecte d as a Web of Science (ISI) Highly Cited Researcher in 2016. He is an IEEE Fellow and IEEE Distinguished Lecturer.&nbsp\;</p>\n<p><span style="font- size: 10pt\;"><strong>ABSTRACT:&nbsp\;</strong> Cellular-based networks ar e expected to offer connectivity for massive Internet of Things (mIoT) sys tems. However\, their Random Access CHannel (RACH) procedure suffers from unreliability\, due to the collision from the simultaneous massive access. Despite that this collision problem has been treated in existing RACH sch emes\, these schemes usually organize IoT devices&rsquo\; transmission and re-transmission along with fixed parameters\, thus can hardly adapt to ti me-varying traffic patterns. Without adaptation\, the RACH procedure easil y suffers from high access delay\, high energy consumption\, or even acces s unavailability. In this talk\, how to optimize the RACH procedure in rea l-time by maximizing a long-term hybrid multi-objective function\, which c onsists of the number of access success devices\, the average energy consu mption\, and the average access delay will be presented.</span></p><br />< br />Agenda: <br /><p>REGISTERED ATEENDES WILL BE MAILED THE CONNECTION LI NK 24 HOURS BEFORE THE EVENT:</p>\n<p>REGISTRATION LINK: https://events.vt ools.ieee.org/event/register/269122</p>\n<p>EVENT:&nbsp\;https://events.vt ools.ieee.org/m/269122</p>\n<div>AGENDA:</div>\n<div>Introduction to NB-Io T</div>\n<div>Challenges in NB-IoT</div>\n<div>Solution using Deep Reinfor cement Learning</div> END:VEVENT END:VCALENDAR